ThesesPage

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Diploma, Master and Bachelor Theses

Running Theses

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Medical Image Synthesis using Generative Adversarial Networks (GANs) (Master Thesis)

Magnetic resonance imaging (MRI) enables the acquisition of the underlying anatomy with different protocols, i.e. T1-weighted and T2-weighted, PD and FLAIR. Recent studies [5] show the importance of enhanced contrast image, namely double inversion recovery (DIR), which can be used for MS Lesion Segmentation. In this project, we will investigate the Medical Image Synthesis of DIR using other proptocols (might be few of them [4]).
Supervisor:Shadi Albarqouni, Christoph Baur
Director:Prof. Dr. Nassir Navab
Student:M. Tarek Shaban
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MS Lesion Segmentation in multi-channel subtraction images (IDP)

Supervisor:Christoph Baur, Shadi Albarqouni
Director:Prof. Dr. Nassir Navab
Student:Sarthak Gupta
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A New Computational Algorithm for Treatment Planning of Targeted Radionuclide Therapy (Project)

Targeted radionuclide therapy [1] is a cutting-edge molecular therapy enabling precise treatment of several tumors such as neuroendocrine carcinoma [2,3] or prostate cancer [4]. Significantly extended survival and markedly reduced complication [5] has been achieved and it is increasingly listed in several guidelines in oncological practices. In contrast to conventional external beam radiotherapy, targeted radionuclide therapy can selectively deliver radiation to tumors or target organs. The cell-targeting protein is combined with a small amount of radionuclide. When injected into the patient’s bloodstream, this radiopeptide travels to and binds to tumor cells, delivering a high dose of radiation to the cancer. This pharmacokinetic-driven dose-delivery procedure however makes the treatment planning extremely difficult [6,7] due to two reasons: 1 the limited dynamic information obtained in planning imaging; 2) the limited consideration of complicated physiological individualities. The proposed master thesis will develop a novel computational method to extrapolate the missing kinetic information and integrate more individual information to improve the dosimetry planning of targeted radionuclide therapy. Pharmacokinetic modeling and information retrieval will be applied to optimize the kinetic estimation and dose calculation. The student is expected to have good knowledge in medical imaging. Advanced skill in python programming is required.
Supervisor:Dr. Kuangyu Shi, Shadi Albarqouni
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
A comparative study on unsupervised deep learning methods (DA/MA/BA)

Deep Learning has been growing in popularity in the last years due to its outstanding performance on high dimensional data, being capable of establishing complex mappings between input and output. New techniques and network architectures are evolving both in the supervised and unsupervised deep learning domains. In this work, an overview on some of the recent successful techniques in unsupervised deep learning will be given. The focus in this work primarily lies on how such methods capture the underlying structure of complex input data. In particular, recent developments such as Autoencoders, Variational and Adversarial Autoencoders or Generative Adversarial Networks will be investigated. Through this survey study, a practical explanation on how and when to use these techniques will be derived. Different techniques are compared against each other, finding their strengths and weaknesses and giving concrete examples by applying theses techniques to publicly available datasets, i.e. MNIST, CIFAR and some medical datasets.
Supervisor:Shadi Albarqouni, Christoph Baur
Director:Prof. Nassir Navab
Student:Nour Eddin Al-Orjany
start-end: -
Siemens AG: Detection of Complex Stents in Live Fluoroscopic Images for Endovascular Aneurysm Repair (Master Thesis)

The abdominal aortic aneurysm (AAA) is a dilation of the aorta that may result in rupture, and is one of the most common aortic diseases. An AAA may be repaired by open surgery or by endovascular aneurysm repair (EVAR) to prevent rupture, and in recent years EVAR has become predominant. During the EVAR procedure, a stent is placed at the position of the aneurysm to exclude it from direct blood flow. The accuracy of stent placement is critical to prevent occlusion of the branching arteries, e.g., renal arteries. This master thesis implements methods to detect complex deployed stents in live 2D fluoroscopic images during EVAR. The proposed learning-based method trains fully convolutional neural network (FCN) models [1, 2, 3] to detect the stent. The training set consists of labelled 2D fluoroscopic image patches that contain the stent. The detection result can be further improved by integrating prior knowledge, e.g., the overlay of the registered pre-operative CT segmentation. Possible evaluation metrics include DICE coefficient (to measure repeatability), true positive rate (sensitivity), positive predictive value (precision) and Hausdorff distance. Previous research [4, 5, 6] has improved the accuracy of stent detection for EVAR. However, the methods are limited to infra-renal, abdominal EVAR cases. In contrast, stents with fenestrations/scallops are necessary for supra-renal cases and for complex AAA anatomy. Methods of this work aim to detect the complexity of the stent. The expected result qualitatively and quantitatively describes which portion/branch of the stent corresponds to which artery. For example, in a supra-renal case, the result describes whether a portion/branch of the stent covers the aorta, the left/right external iliac artery, the left/right renal artery, etc.
Supervisor:Shadi Albarqouni, Stefanie Demirci
Director:Prof. Dr. Nassir Navab
Student:Wei Ni
start-end: -
Development of an Interaction Concept for an AR-HUD application (DA/MA/BA)

Head-Up-Displays are already available in series production vehicles. The Augmented Reality Head-Up-Display (AR-HUD) is combining the HUD in cars with AR applications. In this thesis an interaction concept for an already existent application shall be created. The development of this interaction concept should take into account users' expectations, technical boundaries as well as perception issues. This interaction concept shall be created in close coordination with software development.
Supervisor:Christian Wiesner
Director:Prof. Gudrun Klinker
Student:
start-end: -
Surgeon monitoring during C-arm based pre-clinical study (Master Thesis)

We search a master student to work on a preclinical study involving a new setup proposing an overlay of x-ray image with video [1,2]. The preclinical study will see participants (expert surgeons) perform facet joint injection [3] with our new system as well as with X-ray only to compare. The goal of this study is to show that the new system can drastically reduce the radiation exposure of the surgeon during this procedure performed daily. The work will be in close collaboration with clinical partners at the LMU hospital in Klinikum Innenstadt (Sendliger Tor). The preclinical study will be conducted in direct relationship with a medical student ( in its doktorarbeit) which will take of the medical aspects of the study while the master student will take care of the technical aspects.
Supervisor:Dr. Ulrich Eck
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Computer-aided Early Diagnosis of Pancreatic Cancer based on Deep Learning (Master Thesis)

Pancreatic ductal adenocarcinoma (PDAC) remains as the deadliest cancer worldwide and most of them are diagnosed in the advanced and incurable stage (1). For the year 2020, it is estimated that the number of cancer deaths caused by pancreatic ductal adenocarcinoma (PDAC) will surpass colorectal and breast cancer and will be responsible for the most overall cancer deaths after lung cancer (2). This lethal nature of PDAC has led to the consensus of screening high-risk individuals (HRIs) at early curable stage to improve the survival (3-6). The lethal nature of pancreatic ductal adenocarcinoma (PDAC) has led to the consensus of screening high-risk individuals at early curable stage. However, there is no non-invasive imaging method available for effective screening of PDAC at the moment. Strong evidence has shown that the pathological progression from normal ductal tissue to PDAC is via paraneoplastic lesions, such as pancreatic intraepithelial neoplasia (PanIN?), intraductal papillary mucinous neoplasm (IPMN) and mucinous cystic neoplasm (MCN) (7). Pancreatic carcinogenesis progresses for years from precursors to invasive cancer, indicating a long window of opportunity for early diagnosis in the curative stage (8). Deep learning technologies extend the human perception of information from digital data and its implementation has led to record-breaking advancements in many applications. The proposed master thesis will employ deep learning methods on CT or PET imaging for the early diagnosis of the precursor lesion IPMN. The student is expected to have good knowledge in medical imaging. Advanced skill in python programming is required.
Supervisor:Dr. Kuangyu Shi
Director: Prof. Dr. Bjoern Menze
Student:
start-end: -
[[Students.BaBauer][]] ()

Supervisor:
Director:
Student:
start-end: -
Werkstudententätigkeit: Entwicklung einer Testsoftware für Lokalisierungssysteme (Hiwi)

Lokalisierungssysteme werden in vielen Bereichen wie der Logistik oder der Patientenüberwachung in Krankenhäusern eingesetzt. Diese Systeme basieren auf optischen und drahtlosen Technologien wie RFID, WLAN oder Infrarot. Zum Testen von verschiedenen Lokalisierungssystemen wurde eine Software in C# entwickelt. Diese Software erlaubt es dem Benutzer, Testreihen mit diversen Technologien und Methoden zu erstellen. Nach Abschluss eines Tests wird ein Testprotokoll automatisiert erstellt, welches eine Zusammenfassung mit allen wichtigen Parametern beinhaltet. Diese Software gilt es in ersten Schritten mit fehlenden Technologien und Methoden zu ergänzen und anschließend weiterzuentwickeln.
Supervisor:Gel Han
Director:Prof. Gudrun Klinker
Student:
start-end: -
Evaluierung eines alternativen optischen Trackingsystems zur Überprüfung der Genauigkeit eines Lokalisierungssystems (Master Thesis)

Lokalisierungssysteme werden immer häufiger in Kliniken eingesetzt zum Gerätemanagement oder zur Patientenüberwachung. Zur Überprüfung der Genauigkeit eines Lokalisierungssystems wurde ein automatisiertes Prüfverfahren entwickelt. Dieses Prüfverfahren basiert auf optischen Trackingkameras und einem programmierbaren Roboter. Der Roboter fährt mit einem Sendemodul des Lokalisierungssystems eine bestimmte Strecke ab und wird einerseits durch das Lokalisierungssystem und andererseits durch das optische Trackingsystem erfasst. Am Schluss erfolgt ein Abgleich von den Positionen, die das Lokalisierungssystem berechnet und das optische Trackingsystem erkannt haben durch eine Software. Da der Roboter auch aus einem Raum in einen anderen Raum fahren kann, ist es wichtig, dass das Prüfverfahren auch über mehrere Räume funktioniert und das optische Trackingsystem größtenteils immer den Roboter erkennt. In dieser Arbeit soll das optische Trackingsystem durch eine kostengünstigere Variante, z.B. Weitwinkelkameras oder Kinects, ersetzt und evaluiert werden.
Supervisor:Gel Han
Director:Prof. Gudrun Klinker
Student:
start-end: -
Hand Pose Estimation from Depth Data (DA/MA/BA)

A key challenge in modern robotics and biomedical engineering is to design artificial hands able to reproduce human abilities [2]. The difficulty to handle human-like manipulation problems is mainly due to the high number of Degrees of Freedom (DOFs) concentrated in a small volume. As a consequence, the control of robotic grasp and manipulation is an interesting challenges for engineers and scientists in the fields of robotics and machine learning. A possible solution consists in learning manipulation tasks from human observation. The fist step to apply learning methods to control anthropomorphic hands consists in tracking human palm and the fingertips (contact points) from a camera sensor. The objective of this Practical Work is to develop an algorithm able to robustly estimate the poses of palm and fingertips using only depth data. To this end, a deep learning technique [1] will be used.
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Instrument Tracking for Safety and Surgical View Optimization in Laparoscopic Surgery (DA/MA/BA)

Laparoscopic (minimally invasive, key hole) surgery involves usage of a laparoscope (camera), and laparoscopic instruments (graspers, scissors, monopolar and bipolar devices). First the abdomen is insufflated with carbon dioxide to create a space between the abdominal wall and organs. The laparoscope and laparoscopic instruments are then inserted through small 5 or 10 mm incisions in the abdomen. The laparoscope projects the image within the abdomen onto a screen. The surgeon can therefore visualise the inside of the abdomen and the operating instruments to carry the surgical procedure. At present, there is increasing interest in surgical procedures using a robot-assisted device. The advantages of using such a device include a steady, tremor-free image, the elimination of small inaccurate movements and decreased energy expenditure by the assistant. A number of studies have evaluated the advantages of robotic camera devices compared with manually controlled cameras or different types of devices. The possibility of developing a laparoscope with a tracking system that will automatically identify and follow the operating surgeon’s instruments does provide significant benefit without requiring bulky robotic systems. Firstly by withdrawing the need to always have an assistant will reduce cost. With an instrument tracking system, there is no need for additional pedals and headband to move the camera, which can be confusing, uncomfortable, unsafe and may actually increase the length of surgery. Besides that, an increased safety of the procedure will be achieved by providing a steadier image and with incorporated safety mechanisms. The current project aims at developing a laparoscopic camera system mounted on the operating bed. The proposed system will track the primary surgeon’s instruments without the need for any constant input. The aim is thereby to recognise key tools with priority (sharp tool 1st), and track their movement in situ to move a camera accordingly. With safety features being one priority, the camera will by default be focused on the instrument with higher priority (i.e scissors, monopolar and bipolar devices) in view. Whenever e.g. the monopolar or bipolar device is out of view, this will allow in future to disable the energy source of those instruments, which will greatly reduce one of the commonest cause of injuries during laparoscopic surgery.
Supervisor:Dr. Christoph Hennersperger
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Automatic Detection of Probe Count and Size in Digital Pathology (DA/MA/BA)

In recent time, an increasing trend towards an automatic sample preparation process can be observed in histopathology. In conjunction with Ithe Startup Inveox, laboratory automation enhances efficiency, increases process safety and eliminates potential errors. Tracking and processing of incoming probes is currently still done manual - and this is where the Inveox technology provides a fundamentatl step forward. The goal of this project is to develop a solution for an automatic detection of the size and number of tissue probes within the automatic processing system of Inveox. This includes the selection of appropriate hardware and its arrangement within the automation system. On this foundation, a method to automatically analyze the size (area) and number of samples should be developed.
Supervisor:Dr. Christoph Hennersperger
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Optimal planning and data acquisition for robotic ultrasound-guided spinal needle injection (DA/MA/BA)

Facet-joint syndrome is the one of the main causes of back pain that at least around eighty percent of the population has suffered during their lifetime. Current clinical practice requires injections of analgesics in the lumbar region of the spine as this is the main area of pain suffering. This procedure is done under CT guidance for which in every injection around ten control images are required if no perfect initial placement is achieved. As a consequence, not only patients but also medical staff is exposed to dangerous amounts of radiation over time. In this work we propose and evaluate an ultrasound-guided visual servoing technique using a robotic arm equipped with an ultrasound probe and needle guide. Based on first results demonstrated with a proof of concept, an initial panoramic 3D-ultrasound scan is registered to existing CT data. As this step was limited to rigid alignments between CT and 3D-US data, this work specifically focuses on the optimal acquisition of panoramic robotic ultrasound scans allowing for accurate surgical pre-planning, as well as the intra-operative registration of CT- and ultrasound datasets in a deformable way. The project will be integrated within an intuitive visualization tool for both the acquired ultrasound datasets as well as planned trajectories, and also focus on required servoing techniques to directly approach the planned target using facet joint injection needles.
Supervisor:Dr. Christoph Hennersperger, Salvatore Virga, Javier Esteban
Director:Prof. Dr. Nassir Navab
Student:Sebastian Raquena Witzig
start-end: -
Sensor System Development for Measuring and/or Characterizing Surgical Drain Fluid Output (DA/MA/BA)

A large portion of today`s surgical procedures relies on using surgical drains to support and monitor surgical wound healing. Measuring the fluid output of surgical drains is done manually these days. An automated monitoring system would be beneficial to patient safety since abrupt changes in fluid flow might indicate a clogged drain or excessive wound bleeding, with the latter requiring rapid intervention. A characterization of the drain fluid regarding color or reflectivity might yield early signs for a developing bacterial infection in the wound cavity, thus enabling early and effective counter measures. The aim of this master thesis is to develop a sensor prototype suitable for the purpose stated above and to evaluate its performance according to criteria derived from the clinical need. The project should therefore begin with developing an improved understanding of the actual clinical need as a basis for deriving the sensor system requirements. This will be achieved through observations and interviews with physicians and nursing staff in the clinical environment. Based on the requirements a literature review will be conducted to evaluate suitable physical measurement principles with the respective sensor technologies. A prototype will be developed by implementing the most suitable and economically affordable sensor technology. The performance of the prototype in the light of the afore mentioned requirements will subsequently be evaluated in an artificial setting representing the clinical environment as close as possible.
Supervisor:Christoph Hennersperger, Julia Rackerseder
Director:Prof. Dr. Nassir Navab
Student:Mario Roser
start-end: -
Sparse Data Reconstruction and its Application in Spherical Computational Sonography (DA/MA/BA)

Ultrasound imaging widely used in clinics because of several advantages compared to other imaging modalities. It provides images in real time, is portable and substantially lower in cost, without requiring harmful radiation. However, to date, it is still highly dependent on a skilled operator and directional information of ultrasound is neglected. Nowadays, the clinical use of three-dimensional ultrasound technology is another area of intense research activity. State-of-the-art systems mostly perform compounding of the image data prior to further processing and visualization, resulting in 3D volumes of scalar intensities and loss of all directional information. Computational Sonography preserves this directional information of the acquired data, and allows for its exploitation by computational algorithms. In Model Independent Computational Sonography, different models of Computational Sonography are compared to classical scalar compounding for freehand acquisitions, providing both an improved preservation of US directionality as well as improved image quality in 3D. Two models where proposed to store the directional dependent information, A tensor-CS model and spherical-CS model, however, in both modalities the data is reconstructed sparsely since limited number of segments on sphere contain information. This project aims to overcome this problem and present information for each segment on sphere. In order to achieve the aim, a test bed will be provided to compare different reconstruction schemes, on scattered data distributed on sphere surface and evaluate its application in spherical-CS.
Supervisor:Christoph Hennersperger, Rüdiger Göbl
Director:Prof. Dr. Nassir Navab
Student:Sara Hajmohammadalitorkabadi
start-end: -
Full color surgical 3D printed tractography (DA/MA/BA)

In preparation for surgery, many surgeons use visualization tools to plan the surgery and to find the possible challenges that they might face in the operation room. 3D volume rendering is essential to visualize certain structures that are not easily understandable in 2D reconstructions. One example is tractography, the representation of neural tracts, which is used for planning of brain tumor resection. It is possible to display tractography in 2D with color coding but it is more comprehensible in 3D. Medical 3D printing use is increasing and it is applicable for a variety of use cases. It is used for printing implants but also to visualize complex structures prior to surgery. The currently available results are often monochrome or use a reduced set of colors. However the newest generation of 3D printers supports a large number of colors and materials that enable high quality prints. They also support printing of transparent materials. The scope of this master thesis it to evaluate how to efficiently map colors and textures in volume rendered medical image views to one or several surface representation files (e.g. VRML) used in 3D printing, and in particular, to get an illustrative 3D printed tractography of the brain. The main focus of the master thesis is to evaluate different methods of transforming a volume rendered surface area (with semitransparent voxels adjacent to opaque voxels and their perceived color) to a surface representation.
Supervisor:Christoph Hennersperger
Director:Prof. Dr. Nassir Navab
Student:Antonio Miguel Luque González
start-end:05/2017 -
Seamless stitching for 4D opto-acoustic imaging (DA/MA/BA)

Optoacoustic tomography enables high resolution biological imaging based on the excitation of ultrasound waves due to the absorption of light. A laser pulse penetrates soft tissue up to a few centimeters in depth and provides 3D-visualization of biological tissues. With its rich contrast and high spatial and temporal resolution optoacoustic tomography is especially preferred for vasculature imaging. The size of a single optoacoustic volume is limited by the size and the field of view of the scanner. In order to get a good general view of the finer biological structure, however, greater field of views are necessary. During this master thesis we will investigate several methods for combining multiple volumes into one larger volume and evaluate which of those existing methods are adaptable for optoacoustic scans. Therefore, we need to find a way to align volumes to each other without having their positions tracked. Additionally, the voxels in the overlapping areas have to be blended in a way that any abrupt transitions or resolution losses are avoided, even though the resolution of each scan decreases around the volume edges and with distance to the scanner. Finally, we aim to propose a method to seamlessly stitch several optoacoustic scans into one high resolution volume without any additional information on the position of the single volumes.
Supervisor:Christoph Hennersperger; Daniel Razansky
Director:Prof. Dr. Nassir Navab
Student:Suhanyaa Nitkunanantharajah
start-end: -
Skull Stripping Method for Glioblastoma scans (IDP)

Master thesis or IDP project
Supervisor:Jana Lipkova, Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
Perception for humanoid and agricultural robotics (DA/MA/BA)

Supervisor:Federico Tombari Daniel Wahrmann
Director:Prof. Nassir Navab
Student:
start-end: -
Real-Time Volumetric Fusion for iOCT (DA/MA/BA)

Microscope-integrated Optical Coherence Tomography (iOCT) is able to provide live cross-sectional images during an ophthalmic intervention. Current OCT engines have a limited acquisition rate, allowing to either image cross-sectional 2D images at high frame rate, low resolution and low field-of-view volumes at medium update rate or high-resolution volumes with low update rate. In order to provide full field of view visualization during a surgical intervention, a high resolution scan can be acquired at the start of the intervention which is then tracked with an optical retina tracker to compensate for movement. Goal of this thesis is to devise a method to dynamically update this high resolution volume with the live data acquired during the ongoing intervention, in order to provide a responsive visualization of the surgeon's working environment. Integration of the live data into the volume requires compensation for deformation of the tissue as well as incorporation of motion data from the optical tracker, to accurately find the correct region to update in the volume.
Supervisor:Jakob Weiss
Director:Prof. Nassir Navab
Student:
start-end: -
Interactive Volume Exploration in VR using Unreal Engine (Bachelor Thesis)

Volume rendering and exploration is of high importance in the medical context, where many different modalities produce high resolution volumetric data. Even with high quality volume rendering, exploration of these data sets is still challenging, due to the limited 3D perception on a screen and challenging interaction with the volume. Unreal Engine provides out of the box support for rendering to VR headsets, easing the technical challenges associated with serving these display devices.
The goal of this project is to evaluate the suitability of Unreal Engine 4 with a HTC Vive VR headset for volume rendering and volume exploration. The first step towards such a system is to implement a method for loading medical volumes into a format suitable for the unreal engine. In a next step, a recently published plugin for volume rendering [1] shall be extended to support classical cutting planes and general transfer functions. Depending on the outcome of the previous steps, another goal is to potentially propose new or adapted interaction methods leveraging the Vive controllers to support volume slicing, annotations, and/or interactive editing of visualization parameters.
[1]https://forums.unrealengine.com/showthread.php?143716

Supervisor:Jakob Weiss
Director:Prof. Nassir Navab
Student:
start-end: -
Camera based Head-Up-Display Brightness Control (DA/MA/BA)

Modern cars use head-up displays (HUD) to make information available to the driver without the necessity to take the eyes off the road. Current systems use a simple photo-diode illumination sensor to measure the overall intensity of the environmental light and adjust the overall brightness of the HUD, accordingly.
Alternatively, a camera can be used to measure the luminance of the scene in front of the car. Due to the higher resolution of the sensor, it’s possible to adjust the brightness of the HUD much more precisely and robust. For example, when driving at night a single photodiode is not able to differentiate between the headlights of an upcoming car or an actual change in the brightness of the environment. Also, reflective surfaces can deteriorate the contrast between the HUD and the background. The goal of this project is to develop a system to adjust the brightness of a HUD given a camera image of the scene in front of the car.

The challenges are:
• Develop a robust method to measure illuminance and reflectiveness of a scene from an image.
• Account for the different point of views of the camera and the driver, leveraging 3D information provided by a stereo camera system or monocular scene reconstruction.
The project is divided into two sub problems. The first one tackles the challenge of measuring the illumination of a scene with a camera. Given a camera image and exposure time, how can we measure the illuminance of every pixel? The second one focuses on the different viewpoints of the scene between camera and driver. Due to the fact that the position of the driver’s head depends on the driver and also changes continuously, another camera is used to track the head pose in real-time. Given the transformation between camera and head and the depth of the scene one can compensate for the different view-points. To estimate the depth of the scene different approaches are possible and shall be evaluated.

Part I: Measuring the illumination of the scene:
• Literature review of methods to measure illuminance and reflectiveness.
• Implement and validate approaches on example images and in the lab.
• Investigate the limits of accuracy and resolution of the approaches.

Part II: View-point compensation:
• Investigate the quality of the view point transformation between camera and head pose given different types of depth information
     o Stereo.
     o Structure-fromMotion.
     o Piecewise planar assumptions.
     o Object detections.
Supervisor:Nikolas Brasch, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Investigation and Implementation of Lightfield Forward Models (Master Thesis)

Light field microscopy is a scanless techniques for high speed 3D imaging of fluorescent specimens. A conventional microscope can be turned into a light field microscope by placing a microlens array in front of the camera, allowing for a full spatio-angular capture of the light field in a single snapshot. The recorded information can be used to volumetrically reconstruct the imaged sample.
Supervisor:Anca Stefanoiu
Director:Tobias Lasser
Student:Josue Page
start-end:2017/06/15 - 2017/12/15
Keypoint Learning (Master Thesis)

Supervisor:Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end:1.10.16 -
Action Recognition and Generation With RNNs (DA/MA/BA)

Human action understanding and generation is a high-level concept and very hot topic in computer vision. Deep learning methods made significant research progresses in this area. In this task, we aim to understand and generate realistic human actions from a given video input. We will use adversarial domain adaptation algorithm [2] to train Recurrent Neural Networks [1]. More specifically, Generative Adversarial Networks(GANs) will be used to reduce discrepancy between training the network and sampling from the it over multiple time steps. We will compare the accuracy and efficiency of this approach with other recent object detection methods. Literature: [1] Hochreiter, Sepp, and Jürgen Schmidhuber. "Long short-term memory." Neural computation 9.8 (1997): 1735-1780. [2] Goodfellow, Ian, et al. "Generative adversarial nets." Advances in neural information processing systems. 2014. [3] Lamb, Alex M., et al. "Professor forcing: A new algorithm for training recurrent networks."Advances In Neural Information Processing Systems. 2016.
Supervisor:Huseyin Coskun, Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Vision-based Robotic Pick and Place (with KUKA Roboter GmbH) (Master Thesis)

This project aims at integrating robust algorithms for object pose estimation and tracking as vision guidance for industrial robotic manipulators. Such vision-based control will be applied to industrial tasks such as bin picking and object pick-and-place from shelves. The main goal of the project is to achieve robust vision-based robot control using inexpensive sensors, in comparison to standard expensive industrial ones. The project includes both testing of the perception part, as well as integration with the path planning and grasping algorithms. The project is made in collaboration with KUKA Roboter GmbH?, one of the leader companies in the field of industrial robots. The student will be often working directly with KUKA Comporate Research, located in Augsburg (around 35 minutes by train from Munich HBF). The student will receive financial support from KUKA (in the form of a monthly stipend) for the duration of the Master Thesis.
Supervisor:DavidTan, Salvatore Virga, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Invariant Landmark Detection for highly accurate positioning (DA/MA/BA)

An essential task to enable highly autonomous driving is the self-localization and ego-motion estimation of the car. Together, they enable accurate absolute positioning and reasoning about the road ahead for e.g. path planning. If a single camera is used as sensor to measure the current vehicle location, positioning is based on visual landmarks and is related to the problem of visual odometry. Current navigation systems rely solely on GPS and vehicle odometry. Newer systems use object detections in the image, like traffic signs and road markings to triangulate the vehicle position within a map. To do so, visual landmarks are detected in the camera image and their position relative to the vehicle is computed. Given the landmark positions, the most likely position of the vehicle with respect to the landmarks in the map can be deduced. Current approaches use detected objects as landmarks (e.g. traffic signs/lights, poles, reflectors, lane markings), but often there are not enough of these objects to localize accurately.
In the scope of this project, a method to detect more generic landmarks should be developed. This method, that will be focusing on deep learning, should extract features that are more invariant to different invariances (e.g. illumination) and also provide a good matchability.

Challenges:
• Create a dataset from different sources: already existing datasets, public webcam streams and synthetic datasets.
• Design and implement a method/network to extract robust generic landmarks/features in different environments (highway, city, country roads) and match them to previously extracted landmarks.
• Leverage deep learning in order to achieve a high invariance to different environment conditions.

Tasks:
• Literature review of methods to extract robust landmarks with focus on:
      o Robustness to changes in appearance, viewpoint.
      o Uniqueness to match them corretly to already extracted landmarks.
• Implementation and evaluation of a deep neural network that is capable of extracting invariant features, that offer the possibility for robust matching.
• Application of the feature in a state-of-the-art SLAM algorithm.

Literature :
[1] LIFT: https://arxiv.org/abs/1603.09114
[2] TILDE: https://infoscience.epfl.ch/record/206786/files/top.pdf
[3] Playing for Data: https://download.visinf.tu-darmstadt.de/data/from_games/data/eccv-2016-richter-playing_for_data.pdf
[4] ORB_SLAM: http://webdiis.unizar.es/~raulmur/orbslam/
Supervisor:Jakob Mayr, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Realtime Medical Volume Rendering on Microsoft Hololens (Bachelor Thesis)

The recent release of the Microsoft Hololens developer kit opens up exciting possibilities to further study the utility of head-mounted displays for augmented reality applications in medical procedures. An important feature is the visualization of volumetric images, such as MRI and CT. Due to the hardware limitations of the Hololens Graphics Processing Unit (GPU) and the missing OpenGL? support, off-the-shelf solutions do not provide satisfactory results. This project aims to explore the feasibility of using the onboard GPU of the Hololens for volume raycasting.
Supervisor:Ulrich Eck
Director:Nassir Navab
Student:
start-end: -
Real-Time Simulation of 3D OCT Images (Master Thesis)

Optical Coherence Tomography (OCT) is widely used in diagnosis for ophthalmology and is also gaining popularity in interventional settings. OCT generates images in an image formation process similar to ultrasound imaging: Coherent light waves are emitted into the tissue and this light signal is partially reflected at discontinuities of optical density. The reflected light waves are then used to reconstruct a depth slice of the tissue. The ability to simulate such a modality in real time has many potential applications: For example, it can greatly help to evaluate image processing algorithms where ground truth is not easily obtainable. It is also a crucial part of a fully virtual simulation environment for ophthalmic interventions, which can be used for training as well as prototyping of visualization concepts. As a first step, existing simulation algorithms shall be reviewed and evaluated in terms of computational efficiency when adapted to 3D. A new or adapted algorithm shall be proposed to support simulation of OCT images from a volumetric model of the eye. This should consider efficient implementation on the GPU and consider realistic simulation of the modality's artifacts, such as speckle noise, reflections and shadowing.
Supervisor:Jakob Weiss
Director:Prof. Nassir Navab
Student:
start-end: -
Segmentation of Liver and Stroke Lesions in CT Scans via Phase Field Separation (Master Thesis)

Supervisor:Jana Lipkova, Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
Meta-Learning of Regularization Parameters in X-ray Computed Tomography (Bachelor Thesis)

Medical imaging modalities such as X-ray Computed Tomography (X-ray CT) have been the basis of accurate diagnosis in clinical practice for decades, one particular example being the detection of tumors. But medical imaging also plays a central role during the therapy, for example when planning complex surgeries or when planning and monitoring radiation therapy treatments.
Supervisor:Shadi Albarqouni
Director:Tobias Lasser
Student:Stefan Haninger
start-end:2017/05/15 - 2017/09/15
Regularization of Structures in Anisotropic X-ray Dark-field Tomography (Bachelor Thesis)

Medical imaging modalities such as X-ray Computed Tomography (X-ray CT) have been the basis of accurate diagnosis in clinical practice for decades, one particular example being the detection of tumors. But medical imaging also plays a central role during the therapy, for example when planning complex surgeries or when planning and monitoring radiation therapy treatments. New X-ray contrast modalities, such as phase-contrast and dark-field contrast, are being developed in the last few years, based on a break-through in grating interferometry, with many promising clinical applications, ranging from breast cancer detection to diagnosis of osteoporosis.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:Maximilian Hornung
start-end:2017/05/15 - 2017/09/15
Multimodal Deep Learning (Master Thesis)

Diagnostic errors can harm patients and undermine public trust, yet many of them are preventable. Radiology is one of the specialities most liable to claims of medical negligence. Failure to perform the precise detection of all abnormalities in an imaging examination and their accurate diagnosis results in misinterpretation of radiologic images and oversight of abnormalities. Deep convolutional neural networks have led to a series of breakthroughs for image classification. CNNs enable learning data-driven, highly representative, layered hierarchical image features from sufficient training data. In this master thesis, we address the issue of misinterpretation of radiologic images by applying deep convolutional neural networks to computer-aided detection problems. Created predictive models will leverage medical imaging scans, as well as available medical records and temporal information.
Supervisor:Shadi Albarqouni
Director:Prof. Dr. Nassir Navab
Student:Anna Zeldin
start-end: -
Crowdsourcing Games for Medical Applications (Bachelor Thesis)

Crowdsourcing has been widely used for annotation, i.e. collecting ground-truth, in medical community. Many studies have shown that non-expert can perform as well as experts in crowdsourcing tasks if they were trained well, however, users/crowd are not motivated to complete the task to the very end. Recently, we showed that games can play a crucial role in motivating the crowd in the annotation task. In this work, we need to extend this to many different use cases.
Supervisor:Shadi Albarqouni
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Computer assisted optical biopsy for colorectal polyps. (DA/MA/BA)

Supervisor:Peter Klare from the Klinikum Rechts der Isar Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
Detection of interventional tools in moving images (DA/MA/BA)

Fluoroscopic images are used in intravascular guided interventions to help physicians steer the tools towards a desired location. The goal of this project is to use state of the art image processing and modelling techniques in order to separate the background from the tools, thereby improving their visualisation for easier guidance. The challenges we want to address are both the low signal to noise ratio as well as the deformations caused by motion, e.g. respiratory and/or cardiac.
Supervisor:Dr. Diana Mateus, Dr. Stefanie Demirci
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Analysis of Tool Tracking Methods (IDP/Klinisches Anwendungsprojekt)

Fluoroscopic images are used in intravascular guided interventions to help physicians steer the tools towards a desired location. Several algorithms have been developed in this group to target different clinical application sand settings. The goal of this project is to throughly analyze these methods and test different variations of post-/ and preprocessing schemes.
Supervisor:Dr. Diana Mateus, Dr. Stefanie Demirci
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
New Mole Detection (Master Thesis)

Supervisor:Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
3D Bodymapping from RGB-D cameras (IDP/Klinisches Anwendungsprojekt)

Supervisor:Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
Computer Aided Diagnosis of Moles (IDP/Klinisches Anwendungsprojekt)

Supervisor:Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
Adversarial Multiple Hypothesis Prediction (DA/MA/BA)

In a recent work we studied the possibilities of predicting multiple hypotheses with a single CNN. This helps in cases where the outcome is not certain and multiple outcomes are possible. (see our arxiv paper for details). One of the applications that we were investigating was video prediction, that is predicting a future frame of a video sequence. Recently, adversarial learning has been shown to be able to predict high quality images by learning the loss instead of explicitly defining it. We believe that a combination of adversarial ideas with our MHP model could result in better images and multiple different predictions for the future.
Supervisor:Christian Rupprecht, Iro Laina, Federico Tombari
Director:Prof. Nassir Navab
Student:Ignacio Sarasúa
start-end: -
Medical Augmented Reality with SLAM-based perception (IDP)

Supervisor:Federico Tombari, Ulrich Eck
Director:Prof. Nassir Navab
Student:
start-end: -
[[Students.BaGruber][]] ()

Supervisor:
Director:
Student:
start-end: -
Serious Games (DA/MA/BA)

Supervisor:David Plecher
Director:Prof. Gudrun Klinker
Student:
start-end: -
[[Students.MaWesemann][]] ()

Supervisor:
Director:
Student:
start-end: -
Siemens AG: X-ray PoseNet - Recovering the Poses of Portable X-Ray Device with Deep Learning (Master Thesis)

For most CT setups usually the systems geometric parameters are known. This is necessary to compute an accurate reconstruction of the scanned object. Unfortunately for a Mobile CT this might not be the case. However to enable the reconstruction of an object given its projections from unknown geometric parameters, this master thesis explores the possibility of using Convolutional Neural Networks to train a model and estimate the necessary geometric parameters needed for tomographic reconstruction.
Supervisor:Shadi Albarqouni, Slobodan Ilic
Director:Prof. Nassir Navab
Student:Mai Bui
start-end: -
Computation of Detectability Indices for Medical Imaging (DA/MA/BA)

Medical imaging is a well established tool for diagnosis. Most imaging modalities however have drawbacks, such as radiation exposure and long imaging times. To alleviate these drawbacks, optimized imaging protocols are an interesting topic of research. For cases where the imaging target is already known, it is often possible to compute feature descriptors enabling optimization of the acquisition protocol for this particular feature. A particular group of such feature descriptors are the detectability indices, which form the basis for this Master's thesis.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Implementation of efficient computational modules for forward- and backward-projection in X-ray computed tomography (Project)

X-Ray Computed Tomography (CT) is one of the cornerstones of medical imaging for many decades now. The tomographic reconstruction of CT is quite well understood theoretically and practically, but many open research issues remain. A central point for any reconstruction method is the projector and back-projector pair, which models the interaction process of X-rays with matter, the detection process in the detector and the acquisition geometry. Several standard methods for this are described in the literature, each with specific advantages and disadvantages. Common to all these methods are high computational requirements, necessitating the use of massively parallel computing devices, such as GPUs.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:David Frank
start-end:2017/04/01 - 2017/07/01
Detection Models for Emission Tomography (DA/MA/BA)

Emission Tomography is a popular clinical tool in the diagnosis of diseases. Based on radioactive tracers marking suspicious targets (such as cancerous cells), emission tomography modalities like Single Photon Emission Computed Tomography (SPECT) or Positron Emission Tomography (PET) allow the non-invasive visualization of these tracers within the human body. Mathematically and algorithmically these modalities pose interesting research problems, in particular the inverse problem of tomographic reconstruction. Central for reconstruction is a suitable physical model of the detection process.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Statistical Reconstruction Methods for Anisotropic X-ray Dark-field Tomography (Bachelor Thesis)

X-ray grating interferometry enables the simultaneous acquisition of absorption contrast, phase contrast and dark-field contrast. The directionally dependent dark-field data allows the tomographic reconstruction of anisotropic scattering coefficients inside the sample. This allows the recovery of structural orientations without the need to explicitly resolve them in the X-ray detector. The anisotropic scattering coefficients can be represented as spherical functions, such as spherical harmonics. Based on a closed-form spherical harmonics based forward model, the anisotropic dark-field data can be reconstructed in three dimensions. We refer to this technique as "Anisotropic X-ray Dark-field Tomography", or in short AXDT.
Supervisor:Matthias Wieczorek; Tobias Lasser
Director:Bjoern Menze
Student:Nathanael Schilling
start-end:2016/10/15 - 2017/02/15
Tumor Induced Brain Deformations (Master Thesis)

Supervisor:Jana Lipkova; Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
[[Students.MaSchwarzmann][]] ()

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start-end: -
A Deep Learning Approach to Synthesize Virtual CT based on Transmission Scan in hybrid PET/MR (Master Thesis)

Computed Tomography (CT) is a mandatory imaging modality for radiation treatment planning while magnetic resonance imaging (MRI) and positron emission tomography (PET) have advantages in tumor delineation and dose prescriptions. With the advent of PET/MRI, this hybrid imaging modality has advantages of simultaneous acquisition of soft tissue morphological imaging and molecular imaging, which provides advanced information supporting clinical diagnosis and therapy planning (1). To avoid multiple scanning and additional high radiation doses, a new concept was proposed to integrate low dose transmission scan (TX) into a PET/MRI machine for the synthesis of virtual CT (VCT) for treatment planning (2). However, TX is usually extremely noisy with artifact spots and it is necessary to smooth the sinogram to obtain interpretable images. This leads to consequently blurred low-resolution images. The proposed Master thesis project will aim to synthesize high-resolution virtual CT planning based on low-resolution transmission scan in integrated PET/MRI. This VCT is aimed to substitute CT scans in several applications such as radiotherapy treatment planning and attenuation correction. In particular, this project will develop advanced deep learning approach to achieve imaging super-resolution.
Supervisor:Sailesh Conjeti, Kuangyu Shi, Shadi Albarqouni
Director:Prof. Dr. Nassir Navab
Student:Deepa Gunashekar
start-end: -
Automatic Cell Tracking in Time Series of Holographic Microscopy Images (Master Thesis)

Supervisor:Markus Rempfler
Director: Prof. Dr. Bjoern Menze
Student:
start-end: -
[[Students.BaSuchacek][]] ()

Supervisor:
Director:
Student:
start-end: -
Learning-based Surgical Workflow Detection from Intra-Operative Signals (Master Thesis)

The goal of this project will be to apply methods from Machine Learning (ML) to medical data sets in order to deduct the current workflow phase. These data sets were recorded by our medical partners during actual laparoscopic cholecystectomies and will contain binary values (like the usage vector of all possible surgical instruments) as well as analog measurements (e.g. intra-abdominal pressure). By learning from labeled data, methods like Random Forests or Hidden Markov Models should be able to detect which of the known phases is the most probable, given the data at hand.
Supervisor:Ralf Stauder, Aslı Okur, and Loïc Peter
Director:Prof. Nassir Navab
Student:Ergün Kayis
start-end:2014/07/15 - 2015/02/15
[[Students.MaKeil][]] ()

Supervisor:
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start-end: -
[[Students.MaLatein][]] ()

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start-end: -
Active Contours for Cardiac Segmentation (Master Thesis)

In this thesis we propose a method for interactive boundary extraction which combines a deep, patch-based representation with an active contour framework. We train a class-specific convolutional neural network which predicts a vector pointing from the respective point on the evolving contour towards the closest point on the boundary of the object of interest. These predictions form a vector field which is then used for evolving the contour by the Sobolev active contour framework proposed by Sundaramoorthi et al. The resulting interactive segmentation method is very efficient in terms of required computational resources and can even be trained on comparatively small graphics cards. We evaluate the potential of the proposed method on both medical and non-medical challenge data sets, such as the STACOM data set and the PASCAL VOC 2012 data set.
Supervisor:Maximilian Baust, Christian Rupprecht
Director:Prof. Nassir Navab
Student:Elizabeth Huaroq
start-end: -
[[Students.BaFelleisen][]] ()

Supervisor:
Director:
Student:
start-end: -
[[Students.BaFrattini][]] ()

Supervisor:
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Student:
start-end: -
[[Students.BaWintergerst][]] ()

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start-end: -
[[Students.BaSchwarzmann][]] ()

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start-end: -
Creating Diagnostic Model for Assessing the Success of Treatment for Eye Melanoma (Project)

An eye melanoma, also called ocular melanoma, is a type of cancer occurring in the eye. Patients having an eye melanoma typically remain free of symptoms in early states. In addition, it is not visible from the outside, which makes early diagnosis difficult. The choroidal melanoma, which is located in the choroid layer of the eye, is the most common primary malignant intra-ocular tumor in adults. At the same time, intra-ocular cancer is relatively rare – only an estimated 2,500 - 3,000 adults were diagnosed in the United States in 2015. Treatment usually consists of radiotherapy or surgery if radiotherapy was unsuccessful. For larger tumors, radiation therapy maybe associated with some loss of vision. Currently, it is unknown which factors lead to the development of such cancer and which factors determine whether a patient is responding to radiotherapy In this master thesis project, the objective is to analyze data from approximately 200 patients, treated at the ophthalmology department at Ludwig-Maximilians University hospital. Treatment consisted of a single-session, frameless outpatient procedure with the Cyberknife System by Accuray. Using pre-procedural data and information collected during follow-up, the aim is to identify factors predictive of a patient's response to treatment and the impact on a patient's visual acuity, measured by the so-called Visus.
Supervisor:Shadi Albarqouni
Director:Prof. Nassir Navab
Student:
start-end: -
Structured learning with random forests (DA/MA/BA)

Supervisor:Chun-Hao Paul Huang, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Humanlike Robot Movement (DA/MA/BA)

Supervisor:Christian Rupprecht, Salvatore Virga, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Super Resolution Depth Maps (DA/MA/BA)

This project aims at single image super-resolution applied to depth maps. Many available depth sensors have a relatively low resolution compared to the accompanied color image. We would like to recover a high-resolution depth map from the combination of low-res depth and high-res RGB image. This problem is inherently ill-posed since a multiplicity of solutions exist for any given input. Nonetheless it is a highly studies topic in computer vision. Starting with the work of Dong et. al. "Image Super-Resolution Using Deep Convolutional Networks" (TPAMI 2015) we would like to expore the application of deep neural networks to this field of study.
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Interactive Interface for Active Learning (Project)

Supervisor:Shadi Albarqouni
Director:Prof. Nassir Navab
Student:
start-end: -
Rohde & Schwarz: Deep feature representation with auxiliary embedding (Master Thesis)

While convolutional neural networks (CNNs) show outstanding results in various computer vision tasks, the deep feature representations within these models often lack transparency and discriminative power. By introducing additional regularization to the networks, one hopes to find more robust and discriminative embeddings of the feature representations such that for instance different classes cluster nicely. In fact, previous work successfully employed regularization techniques under supervised and semi-supervised settings and reported improved robustness and better generalization on well known computer vision datasets. The work in this master thesis investigates how different regularization techniques for auxiliary manifold embedding affect the performance of the models - as opposed to previous work - for challenging medical data. Further, the work compares the results using both supervised and semi-supervised training.
Supervisor:Shadi Albarqouni, Athanasios Karamalis
Director:Prof. Nassir Navab
Student:Christoph Baur
start-end: -
Efficient GPU Projectors for X-ray Computed Tomography (Master Thesis)

X-Ray Computed Tomography (CT) is one of the cornerstones of medical imaging for many decades now. The tomographic reconstruction of CT is quite well understood theoretically and practically, but many open research issues remain. A central point for any reconstruction method is the projector and back-projector pair, which models the interaction process of X-rays with matter, the detection process in the detector and the acquisition geometry. Several standard methods for this are described in the literature, each with specific advantages and disadvantages. Common to all these methods are high computational requirements, necessitating the use of massively parallel computing devices, such as GPUs.
Supervisor:Tobias Lasser, Matthias Wieczorek
Director:Nassir Navab
Student:Michal Szymczak
start-end:2016/04/18 - 2016/12/18
Image Formation Models in Lightfield (Plenoptic) Microscopy Using Wave Optics (DA/MA/BA)

Light field microscopy is a scanless techniques for high speed 3D imaging of fluorescent specimens. A conventional microscope can be turned into a light field microscope by placing a microlens array in front of the camera, allowing for a full spatio-angular capture of the light field in a single snapshot. The recorded information can be used to volumetrically reconstruct the imaged sample.
Supervisor:Anca Stefanoiu
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Evaluation of iterative solving methods for the statistical reconstruction of lightfield microscopy data (DA/MA/BA)

Light field microscopy is a scanless techniques for high speed 3D imaging of fluorescent specimens. A conventional microscope can be turned into a light field microscope by placing a microlens array in front of the camera allowing for a full spatio-angular capture of the light field in a single snapshot. The recorded information can be used to volumetrically reconstruct the imaged sample. Once the forward light transfer is determined based on the optical system response, the reconstruction process is an inverse problem. In fluorescence microscopy, besides the read-out noise, Poisson noise is present due to the low photon count. Hence a Poisson-Gaussian mixture model would be an appropriate approach for likelihood-based statistical reconstruction. Various iteration schemes may result from different likelihoods coupled with regularization.
Supervisor:Anca Stefanoiu
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Accelerating solvers for column-wise blocked large-scale linear systems used in anisotropic X-ray dark-field tomography (DA/MA/BA)

X-ray grating interferometry enables the simultaneous acquisition of absorption contrast, phase contrast and dark-field contrast. The directionally dependent dark-field data allows the tomographic reconstruction of anisotropic scattering coefficients inside the sample. This allows the recovery of structural orientations without the need to explicitly resolve them in the X-ray detector. The anisotropic scattering coefficients can be represented as spherical functions, such as spherical harmonics. Based on a closed-form spherical harmonics based forward model, the anisotropic dark-field data can be reconstructed in three dimensions. We refer to this technique as "Anisotropic X-ray Dark-field Tomography", or in short AXDT.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Manifold-based regularization of spherical functions in anisotropic X-ray dark-field tomography (Master Thesis)

X-ray grating interferometry enables the simultaneous acquisition of absorption contrast, phase contrast and dark-field contrast. The directionally dependent dark-field data allows the tomographic reconstruction of anisotropic scattering coefficients inside the sample. This allows the recovery of structural orientations without the need to explicitly resolve them in the X-ray detector. The anisotropic scattering coefficients can be represented as spherical functions, such as spherical harmonics. Based on a closed-form spherical harmonics based forward model, the anisotropic dark-field data can be reconstructed in three dimensions. We refer to this technique as "Anisotropic X-ray Dark-field Tomography", or in short AXDT.
Supervisor:Matthias Wieczorek
Director:Tobias Lasser
Student:
start-end:2017/11/15 -
Dynamic analysis of coronary arteries in a fluoroscopy sequence (DA/MA/BA)

Supervisor:Dr. Pascal Fallavollita
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Automatic fiducial and implant segmentation using C-arm fluoroscopy (DA/MA/BA)

Supervisor:Dr. Pascal Fallavollita
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Automatic detection and reconstruction of catheter-tips in X-ray images (DA/MA/BA)

Supervisor:Dr. Pascal Fallavollita
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Registration between ultrasound and fluoroscopy (DA/MA/BA)

Supervisor:Dr. Pascal Fallavollita
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Deep Intrinsic Image Decomposition (Master Thesis)

In this project we aim at decomposing a simple photograph into layers of material properties like reflectance, albedo, materials etc. This a very challenging but important topic in bot Computer Vision and Computer Graphics as it improves tasks like scene understanding, augmented reality and object recognition. We want to tackle this problem using the human annotated OpenSurfaces? dataset and our recent advances in deep learning especially fully connected residual networks.
Supervisor:Christian Rupprecht, Iro Laina, Federico Tombari
Director:Prof. Nassir Navab
Student:Udo Dehm
start-end: -
Extrinsics calibration of multiple 3D sensors (DA/MA/BA)

Multiple 3D sensor setups are now increasingly used for a variety of computer vision applications, including rapid prototyping, reverse engineering, body scanning, automatic measurements. This project aims at developing a new approach for the calibration of the extrinsic parameters of multiple 3D sensors. The goal is to devise a technique which is simple, fast but also accurate in the estimation of the 3D pose of each sensor. The project will include study of the state of the art in the field, software development of the calibration technique (in C++) and experimental validation.
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Tracking using Autoencoders and Manifolds (DA/MA/BA)

In this project we want to explore the possibilities of using autoencoders to perform object tracking in video sequences. The object's bounding box is given in the first frame and needs to be tracked thoughte the sequence. We would like to use autoencoders to encode the appearance of the object and to predict its future (location and appearance).
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end: -
Webly supervised human activity recognition (Master Thesis)

Supervisor:Federico Tombari, Lamberto Ballan; Christian Rupprecht
Director:Prof. Nassir Navab
Student:Ansh Kapil
start-end: -
Comparative Study on CNN Initialization (Bachelor Thesis)

Supervisor:Shadi Albarqouni
Director:Prof. Nassir Navab
Student:Michael Wengler
start-end: -
A framework for Detection and Depth Prediction for Medical Instruments in Interventional Imaging (Project)

The recent success of convolutional neural networks in many computer vision tasks implies that their application could also be beneficial for vision tasks in cardiac electrophysiology procedures which are commonly carried out under the guidance of C-arm fluoroscopy. In previous work, we managed to train a CNN that able to 1) detect catheter's tips in real-time and 2)estimate the depth of detected electrodes, however, few things need to be improved: 1) high-resolution detection map, 2) graphical model and make it work on noisy images.
Supervisor:Shadi Albarqouni
Director:Prof. Nassir Navab
Student:
start-end: -
Latency Analysis in the AR-HUD context (Master Thesis)

Head-Up-Displays are already available in series production vehicles. The Augmented Reality Head-Up-Display (AR-HUD) is combining the HUD in cars with AR applications. This thesis will investigate the temporal aspect of AR-HUD applications. The analysis will be performed on an already existing application. Within this application it will be investigated how fast the necessary data is provided and how long the application takes to process the data. After an extensive investigation of the actual latency, several techniques will be surveyed and implemented to deal with an insufficient time resolution or time gaps in providing the data.
Supervisor:Christian Wiesner
Director:Prof. Gudrun Klinker
Student:
start-end: -
Radiation Exposure Estimation of full surgical procedures using CamC (Master Thesis)

Supervisor:Séverine Habert, Ulrich Eck
Director:Nassir Navab
Student:
start-end: -
A Web based Photogrammetric Camera Calibration Toolbox (Bachelor Thesis)

Computer Vision and Augmented Reality are gaining more and more popularity and importance these days. Camera calibration, which is an essential step in preparation of those, remains a complex and time consuming process. The analysis of commonly found camera calibration tools and applications has shown that they are often either inaccessible or hard to use. This thesis describes the implementation of a camera calibration service. This web service uses a 2D plane based calibration for a straightforward procedure which provides accurate results. Besides, it features presets for calibration patterns, module parameters, and export templates. Additionally, camera calibrations can be saved, reviewed, and loaded. All of this is achieved with cutting-edge technologies. The front-end is created with HTML5, CSS3, and JavaScript?. The back-end is powered by the fast and scalable server environment Node.js. Persistent user data is made possible with the document-oriented database MongoDB?. The finished implementation demonstrates that camera calibration as a web service is, in fact, both feasible and beneficial. Furthermore, it serves as a great foundation for future work and it could possibly be the pioneer in web based photogrammetric camera calibration services.
Supervisor:Dr. Manuel Huber , Frieder Pankratz and Christian Waechter
Director:Gudrun Klinker
Student:Benjamin Schagerl
start-end:2014/04/15 - 2014/08/15
In vivo micro-CT imaging for the non-invasive assessment of tumor mouse models in preclinical anticancer drug research (Master Thesis)

In this master’s thesis our focus is set on the implementation of advanced techniques in micro-CT imaging of lung, liver, and kidney cancer development and therapy. Micro-CT is a useful imaging modality for the assessment of anatomical and/or functional features of tumor growth in the whole animal and in a non-invasive manner. In specific, methods shall be implemented for the reduction of motion artifacts arising during imaging of a breathing living animal (respiratory-gated micro-CT imaging), and for the derivation of functional perfusion parameters during anti-angiogenic treatment of tumors (dynamic contrast-enhanced (DCE) micro-CT imaging).
Supervisor:Tobias Lasser, Thomas Pöschinger
Director:Nassir Navab
Student:Kristina Erhard
start-end:2016/04/15 - 2016/10/15
Implementation and evaluation of splitting methods for reconstruction of X-ray Computed Tomography (Bachelor Thesis)

Reconstruction of X-ray computed tomography (CT) data enables insight into the human body without a surgical procedure. The basic concept comes down to sending X-rays through the human body and measuring the changed X-ray on the other side of the patient. Such methods are called projective imaging methods. In order to reconstruct a 3D volume of the human body providing a map of the physical properties which led to the according projective measurements, there exist several algorithms, for example direct methods such as Filtered-Backprojection, or iterative methods. Iterative methods can be classified into statistical approaches using the maximum-likelihood and into series expansion methods using linear equation systems.
Consequently, there exist multiple algorithms in order to compute tomographic reconstructions.
Supervisor:Tobias Lasser, Matthias Wieczorek
Director:Bjoern Menze
Student:Johann Frei
start-end:2016/05/15 - 2016/09/15
Regularization of spherical harmonics for Anisotropic X-ray Dark-field Tomography (Bachelor Thesis)

Reconstruction of x-ray computed tomography (CT) data enables an insight to the human body without the need of opening it. The basic concept comes down to sending X-rays through the human body and measuring the overall change the X-ray recieved on the other side of the patient. Such methods are called projective imaging methods. Using grating interferometry, acquisition of phase-contrast and dark-field data is now possible, in addition to the usual attenuation data. The directionally dependent dark-field data allows the tomographic reconstruction of anisotropic scattering coefficients, which can be represented by spherical harmonics.
Supervisor:Matthias Wieczorek, Tobias Lasser
Director:Bjoern Menze
Student:Maximilian Endrass
start-end:2016/05/15 - 2016/09/15
Reconstruction of sparsely sampled X-ray Computed Tomography data using dictionary learning (Bachelor Thesis)

Reconstruction of x-ray computed tomography (CT) data enables an insight to the human body without the need of opening it. The basic concept comes down to sending X-rays through the human body and measuring the overall change the X-ray recieved on the other side of the patient. Such methods are called projective imaging methods. Tomographic reconstruction aims at reconstructing a 3D volume of the human body providing a map of the physical properties which led to the according projective measurements. In order to reduce noise and/or improve reconstruction quality (e.g. with respect to a specific task) one can incorporate prior assumptions or knowledge into this reconstruction process, i.e. regularization.
Supervisor:Tobias Lasser
Director:Bjoern Menze
Student:David Frank
start-end:2016/05/15 - 2016/09/15
Efficient Parallel Projectors for X-ray Computed Tomography (Bachelor Thesis)

X-Ray Computed Tomography (CT) is one of the cornerstones of medical imaging for many decades now. The tomographic reconstruction of CT is quite well understood theoretically and practically, but many open research issues remain. A central point for any reconstruction method is the projector and back-projector pair, which models the interaction process of X-rays with matter, the detection process in the detector and the acquisition geometry. Several standard methods for this are described in the literature, each with specific advantages and disadvantages. Common to all these methods are high computational requirements, necessitating the use of parallel computing.
Supervisor:Tobias Lasser
Director:Bjoern Menze
Student:Erdal Pekel
start-end:2016/04/15 - 2016/09/15
Implementation and evaluation of iterative solving methods for X-ray Computed Tomography (Bachelor Thesis)

Reconstruction of X-ray computed tomography (CT) data enables insight into the human body without a surgical procedure. The basic concept comes down to sending X-rays through the human body and measuring the changed X-ray on the other side of the patient. Such methods are called projective imaging methods. In order to reconstruct a 3D volume of the human body providing a map of the physical properties which led to the according projective measurements there exist several algorithms, for example direct methods such as Filtered-Backprojection, or iterative methods. Iterative methods can be classified into statistical approaches using the maximum-likelihood and into series expansion methods using linear equation systems. Consequently, there exist multiple algorithms in order to compute tomographic reconstructions.
Supervisor:Tobias Lasser
Director:Bjoern Menze
Student:Theodor Cheslerean Boghiu
start-end:2016/04/15 - 2016/08/15
[[Students.BaKessner][]] ()

Supervisor:
Director:
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start-end: -
Object Detection for Industrial Inspection (Hiwi)

The project deals with the implementation of an algorithm for checking the presence/absence of circular flat objects stacked on top of one another in the box. The objects are separated by the soft pads which can deform and has also be detected. The system has to return 3D pick-up location of the objects. Kinect-like industrial RGB-D camera will be used and developement will be based on HALCON library.
Supervisor:Dr. Slobodan Ilic
Director:
Student:
start-end: -
[[Students.BaSchwab][]] ()

Supervisor:
Director:
Student:
start-end: -
Multi-modal Deformable Registration in the Context of Neurosurgical Brain Shift (DA/MA/BA)

Registration of medical images is crucial for bringing data obtained by different sources or at a different time into a common reference frame. Adding real-time requirements to 3D multi-modal registration allows physicians to analyze the combination of medical data both preoperatively as well as intraoperatively, providing additional benefits for the patient and helping to achieve a desirable procedure outcome. Different applications usually induce several underlying geometrical transformations ranging from global rigid movements to local nonlinear deformations such as brain shift in neurosurgery or compression of liver tissue during respiratory motion. Using a deformable registration to correct local tissue distortions allows for a transformation of preoperative data into an intraoperatively acquired local reference frame. The integration of intrinsic tissue properties and biomechanical constraints can further extend the registration framework. This thesis concentrates on real-time multi-modal deformable registration between Ultrasound (US) and X-ray Computed Tomography (CT) as well as respective Magnetic Resonance Imaging (MRI). Existing registration techniques will be analyzed and a framework to register between preoperative X-ray CT or MRI data and intraoperative US images with a particular focus on brain shift will be developed. Furthermore, the transformed preoperative data are to be visualized alongside with surgical tools, e.g. for guidance of a surgical procedure.
Supervisor:Christoph Hennersperger, Julia Rackerseder, Dr. Benjamin Frisch
Director:Prof. Dr. Nassir Navab
Student:Stefan Matl
start-end: -
RGB-D Object Detection with Deep Learning (Master Thesis)

Detecting multiple 3D objects in a scene and estimating their 6DoF pose is a challenging task, especially in presence of clutter and heavy occlusions. Furthermore, scaling to many objects without increasing the runtime poses another challenging problem. With this thesis, we plan to advance the state of the art by developing a new 3D object detection approach based on the use of Convolutional Neural Networks (CNNs).
Supervisor:Wadim Kehl, Federico Tombari
Director:Prof. Nassir Navab
Student:
start-end:1.9.16 -
Gameentwicklung zum Thema Informationssicherheit (DA/MA/BA)

Supervisor:Dr. Manuel Huber
Director:Prof. Gudrun Klinker
Student:
start-end: -
Cancer Matestasis detection in Lymph nodes (IDP)

Supervisor:Shadi Albarqouni, Stefanie Demirci
Director:Prof. Nassir Navab
Student:Amil George & Bharti Munjal
start-end: -
Deformable Human Shape matching via Volumetric representation (DA/MA/BA)

Recently there is a significant progress in human pose estimation with depth data. Thanks to decision forest , now people are able to infer correspondences (either sparse or dense) between a surface model and single depth image. Inspired by these works, in this project we would like to investigate the possibility to infer the correspondences between a surface model and a point cloud/visual hull obtained from multiple camera environments.
Supervisor:Chun-Hao Paul Huang, Dr. Slobodan Ilic, Dr. Federico Tombari
Director:Prof. Dr. Nassir Navab
Student:Bibiana do Canto Angonese
start-end:01.02.2014 - 31.10.2014
Deep Stereo (Bachelor Thesis)

In this project we aim at developing a method for learning how to predict stereo disparities from a pair of images. We will start from the analysis of a recently published method (Zbontar and LeCun?, 15), and investigate different aspects aimed at improving this approach in terms of accuracy and efficiency. Another important goal of the project is to experimentally evaluate how learned disparities can deal with noisy images under realistic working conditions.
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:Christoph Kick
start-end: -
Efficient Object Detection using Fully Convolutional Neural Networks (Master Thesis)

In recent years, Fully Convolutional Networks (FCNs) have set the state of the art in various dense prediction problems, either classification or regression. As part of this thesis, we investigate Fully Convolutional Residual Networks for the problem of object detection in RGB and/or RGB-D images. Our approach combines two-fold information, in order to detect the class and bounding box for objects in the image, given a specified set of known classes. Specifically, we aim to jointly perform semantic segmentation, assigning each pixel in the image to its corresponding class, and offset regression, predicting for each pixel a vector that points to the center of its object, with a unified network. This method additionally holds the potential of being real-time. We will compare the accuracy and efficiency of this approach with other recent object detection methods.
Supervisor:Iro Laina, Federico Tombari
Director:Prof. Nassir Navab
Student:Bharti Munjal
start-end:15.08.2016 -
Depth Estimation for Catheters from Single-View Interventional X-ray Imaging (Project)

The recent success of convolutional neural networks in many computer vision tasks implies that their application could also be beneficial for vision tasks in cardiac electrophysiology procedures which are commonly carried out under guidance of C-arm fluoroscopy. Many efforts for catheter detection and reconstruction have been made, but especially robust detection of catheters in X-ray images in realtime is still not entirely solved. In this project, we aim to build a CNN that able to 1) detect catheter's tips and estimate the depth.
Supervisor:Shadi Albarqouni, Stefanie Demirci, Pascal Fallavollita
Director:Prof. Nassir Navab
Student:Christoph Baur
start-end: -
[[Students.BaColourCosmos][]] ()

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start-end: -
Automatic Early Detection of Keratoconus (DA/MA/BA)

Keratoconus (KCN) is a bilateral, non-inflammatory, and degenerative disorder of the cornea in the eye with an incidence of approximately 1 per 2,000 in the general population [1,2], It is characterized by progressive thinning and cone-shaped bulge of the cornea (fig.1) leading to substantial distortion of the vision [2]. The early diagnosis of keratoconus is of a great importance for patients seeking eye surgery (i.e. LASIK), which can prevent the progression of pathology after surgery [3-4]. Rabinowitz [5] shows that his preliminary research using a Wavefront analysis together with Corneal topography demonstrates a good classification between early KCN subtypes and normals. Further, Jhanji et. al. [6] concluded that swept-source OCT may provide a reliable alternative for the parameters of corneal topography (fig.2). On the other hand, Pérez et. al. [3] shows that all of these surveyors including videokeratography, Orbscan, and Pentacam together with the indices can lead to early KCN detection, however, with an increase in false positive detection. Therefore, developing a highly specific diagnostic tool for KCN detection with few false positive is highly desirable. In this IDP/MA project, the objective is to analysis data from approximately 200 patients, treated at the ophthalmology department at Klinikum Rechts der Isar / TUM. Using a retrospective corneal topographic data (fig.2) collected during follow-ups, the aim is to build an early predictive model for KCN detection.
Supervisor:Shadi Albarqouni, Ali Nasseri
Director:Prof. Nassir Navab
Student:
start-end: -
[[Students.MaRoboticCatheterUS][]] ()

Supervisor:
Director:
Student:
start-end: -
Automatic acoustic coupling for robotic ultrasound imaging (Master Thesis)

Medical ultrasound (US) is already used today as the primary modality of choice for many clinical indications. Robotic ultrasound systems could potentially provide an automation of current ultrasound acquisitions, which would be especially helpful for interventional and screening applications. While the feasibility of automatized ultrasound imaging systems was shown by various research groups up to now, the application of ultrasound gel still needs to be performed manually today. This project focuses on ultrasound coupling and aims at overcoming this issue based on developments in other research areas to allow for automatic robotic ultrasound acquisitions.
Supervisor:Christoph Hennersperger
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
The Influence of Confidence-Maps on MR/US Registration (DA/MA/BA)

Recent advances in the development of ultrasound have led to significant improvements in the imaging quality and usability. However, shadowing artifacts, reflections, and attenuation are still significant problems. Confidence maps emphasize the uncertainty in the attenuated and shadow regions, which may contribute to the improvement of multi-modal image registration, such as MR/US. Recent developments in MR/US registration (such as MIND and LC2) show promising results, but still lack the ability to properly take the uncertainty of information in the US image into account.
Supervisor:Bernhard Fuerst
Director:Nassir Navab
Student:
start-end: -
Egozentrische 3D-Visualisierung von Fussballtaktiken in einer Datenbrille -- Ego-centric 3D Visualization of Soccer Tactics in an HMD (DA/MA/BA)

In soccer, many tactical manoevers are known and studied. Trainers repeatedly discuss such tactics with their playery. In particular, they discuss the individual tactical behavior of players after a match. In collaboration with master students of Prof. Veit Senner (Fakultäten für Maschinenwesen and Sportwissenschaften) this thesis will develop Virtual-Reality-based schemes to present tactical information to players in ego- and exocentric visualizations.
Supervisor:Sandro Weber, David Plecher
Director:Prof. Gudrun Klinker
Student:
start-end: -
[[Students.BaLudus][]] ()

Supervisor:
Director:
Student:
start-end: -
Cement diffusion real-time simulation (DA/MA/BA)

Supervisor:Patrick Wucherer, Philipp Stefan
Director:Prof. Dr. Nassir Navab
Student:tba
start-end: -
Development of algorithms for reduction of artifacts caused by dental implants in cone-beam computer tomography (Master Thesis)

X-ray Computed Tomography (CT) is one of the leading modalities for diagnostic imaging. In recent years, the development of cone-beam computed tomography systems such as for dental or intraoperative applications have indicated that the spectrum of applications of X-ray CT is extending into other medical fields like surgery, otorhinolaryngology, and many more. One major obstacle in such applications is the presence of implants in the field-of-view, which cause so-called metal artifacts. In this master thesis, we are planning to investigate possibilities to reduce metal artifacts for example in situations where implants or fillings are in the region of interest. This project focuses on developing algorithms that correctly modulate the physical behavior of the imaging system in the presence of implants. The successful candidate should possess adequate system-programming skills (for example: Matlab/Simulink, C/C++) and additional knowledge in parallel computing such as for example the programming of GPUs. This project will be carried out in collaboration between the Department of Radiology and ImFusion GmbH.
Supervisor:Dr. Peter Noël, Dr. Wolfgang Wein
Director:
Student:
start-end: -
Real-time large-scale SLAM from RGB-D data (Master Thesis)

You will extend an existing RGB-D reconstruction system to support large-scale scenes. In a first step you will evaluate and implement state-of-the-art algorithms for tracking and reconstruction from RGB-D data. Secondly, you will also evaluate and implement algorithms for texturing the obtained reconstruction from camera images. The real-time critical components will be implemented on a GPU.
Supervisor:Alexander Ladikos
Director:
Student:
start-end: -
Gamification in the Medical Context (Bachelor Thesis)

Today's clinical procedures often generate a large amount of digital images requiring close inspection. Manual examination by physicians is time-consuming and machine learning in computer vision and pattern recognition is playing an increasing role in medical applications. In contrast to pure machine learning methods, crowdsourcing can be used for processing big data sets, utilising the collective brainpower of huge crowds. Since individuals in the crowd are usually no medical experts, preparation of medical data as well as an appropriate visualization to the user becomes indispensable. The concept of gamification typically allows for embedding non-game elements in a serious game environment, providing an incentive for persistent engagement to the crowd. Medical image analysis empowered by the masses is still rare and only a few applications successfully use the crowd for solving medical problems. The goal of this project is to bring the gamification and crowdsourcing to the Medical Imaging community.
Supervisor:Shadi Albarqouni,Stefanie Demirci, Maximilian Baust
Director:Prof. Nassir Navab
Student:Stefan Matl
start-end: -
Crowdsourcing in the Medical Context (IDP)

Supervisor:Shadi Albarqouni,Stefanie Demirci
Director:Prof. Nassir Navab
Student:Christoph Baur
start-end: -
Depth Recovery from Single-View Interventional X-ray Imaging (Master Thesis)

Supervisor:Shadi Albarqouni, Stefanie Demirci, Lichao Wang
Director:Prof. Nassir Navab
Student:Ulrich Konrad
start-end: -
Interactive Augmented Reality for Anatomy Teaching (DA/MA/BA)

Supervisor:Felix Bork
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
3D Human Pose Estimation From Sparse Data (Master Thesis)

Supervisor:Felix Achilles
Director:Prof. Nassir Navab
Student:
start-end: -
Depth-based hand tracking for RGBD Augmented C-arms (DA/MA/BA)

Supervisor:Séverine Habert
Director:Nassir Navab
Student:
start-end: -
Human Shape Adaptation with with skeletons and pressure measurement (DA/MA/BA)

Supervisor:Chun-Hao Paul Huang, Dr. Stefanie Demirci, Dr. Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
MRF as regularizations on forest predictions for matching meshes (Bachelor Thesis)

Supervisor:Chun-Hao Paul Huang, Federico Tombari
Director:Prof. Nassir Navab
Student:Vera Hug
start-end: -
Feature Visualization for Deep Neural Networks (Bachelor Thesis)

In this project we would like to explore the possibilities to get insight into the inner workings of deep (convolutional) neural networks. For many of our trained models we lack the possibility to understand what the features that were learned look like, or what objects, textures, parts of the image are important to the task. Many works have been proposed in this direction. The project will include study of the state of the art in the field and begin with implementing one or more existing method into our framework. From there, dependent on the scope and the progress, new techniques could be developed.
Supervisor:Christian Rupprecht, Federico Tombari
Director:Prof. Nassir Navab
Student:Felix Grün
start-end: -
Multimodal Human Mocap (DA/MA/BA)

Supervisor:Dr. Stefanie Demirci, Dr. Diana Mateus
Director:Dr. Nassir Navab
Student:
start-end: -
MR Image Synthesis (DA/MA/BA)

Supervisor:Christian Wachinger
Director:Christian Wachinger, Nassir Navab
Student:
start-end: -
[[Students.BaKoehler][]] ()

Supervisor:
Director:
Student:
start-end: -
High frequency ultrasound and micro computed tomography cochlea image fusion for intra cochlear navigation (DA/MA/BA)

Supervisor:
Director:
Student:
start-end: -
Illumination Compensation in Surgical Scenes (DA/MA/BA)

Due to strong lights present in the operating room, specular highlights are present on the video stream captured by CamC, especially the tools because of their high reflective property(metal), or on the patient (glossy texture) body or on the doctor gloves. Those strong specular highlights are a disturbance for the doctors because they hide or minimize the important information of the surgical scene. In endoscopy surgery, specular highlight removal has already been studied in order to improve the visualization or as pre-processing for further algorithms such as tool tracking. Those regions can be easily segmented in order to remove them from the regions of interest or either inpainted in order to improve to withdraw those artefacts. The type of specular highlights in endoscopic images are similar as the ones in CamC visualization, they are due to a strong light at the tip of the endoscope and are present on the tissues and tools.
Supervisor:Séverine Habert,Pascal Fallavollita
Director:Nassir Navab
Student:Ivan Lebedev
start-end:now -
Multiple Screen Detection for Eye-Tracking Based Monitor Interaction (DA/MA/BA)

A modern operating room usually offers multiple different monitors to present various information to the surgical staff. With the trend to go from highly invasive open surgery to minimally invasive techniques such as laparoscopic surgery, Single-Port surgery or even NOTES, the amount of additional monitors is likely to increase. Knowing which monitor the surgeon is looking at, and on which part of the monitor they are focused allows for a wide variety of supporting systems, such as automatic adjustments of the endoscopic camera position through a robotic system. The goal of this work is to develop a method to recognize monitors with changing content through the cameras of head-mounted eye-tracking systems and translate the detected gaze point to the coordinate frame of the detection monitor. The work will be based on an existing framework (developed in C#) that is able to detect a single monitor, which should be extended to an arbitrary number of monitors and distinguish between them.
Supervisor:Ralf Stauder, Mathias Magg (MITI)
Director:Prof. Nassir Navab
Student:
start-end: -
High Dimensional Regression Using Deep Neural Networks (Master Thesis)

In recent years, Convolutional Neural Networks (CNNs) have been proven to outperform state-of-the-art approaches in several Computer Vision applications. In this master’s thesis, we focus on the problem of high dimensional regression. One example is depth estimation from a single image. Starting from a state-of-the-art multi-scale CNN architecture, depth predictions are performed on the NYU Depth dataset in two stages; an original coarse prediction, using fully-connected layers to include global information, and a second stage which enhances the prediction with details at a finer (local) scale. Challenges include scale ambiguity, high dimensionality and the continuous nature of the output. The final aim of this work is the implementation of a general-purpose high-dimensional regression network, applicable to a set of tasks, such as (the inverse problem) predicting an RGB image from depth, predicting color from grayscale, next frame prediction in a video sequence and potentially medical applications.
Supervisor:Christian Rupprecht, Vasileios Belagiannis, Federico Tombari
Director:Nassir Navab
Student:Iro Laina
start-end:Aug 15, 2015 - Feb 15, 2016
Improving User Recognition for an Augmented Reality Magic Mirror (DA/MA/BA)

The goal of this thesis is to improve the recognition of users in an augmented reality system by using simple computer vision and machine learning techniques.
Supervisor:Ma Meng
Director:Nassir Navab
Student:
start-end: -
Rehabilitation game for the stability of the patient's leg (DA/MA/BA)

A basic framework of augmented reality magic mirror, mirracle, has been developed. We want to develop several game for rehabilitation. Our medical partners told me that a lots of patients have to do some exercise to recover the stability of their legs after some surgeries. The rehabilitation scenario is that the patient needs to stand on only one of his legs and do some big movement with his both arms and another leg. Develop a simple but interesting game for patients to motivate patients to do more exercise. Some game like "Catching fruits or kicking ball".
Supervisor:Ma Meng,Pascal Fallavollita
Director:Nassir Navab
Student:
start-end: -
Interactive Heart Learning Using Augmented Reality Magic Mirror (DA/MA/BA)

A basic framework of augmented reality magic mirror, mirracle, has been developed. We also have a simple game engine for organ rendering. Until now our previous works were always the basic work for the whole organ structure, but the medical students should learn more details about. The heart is always the first and important part in anatomy learning. We want to develop a "serious game" about heart learning for fresh medical student.A serious game for heart learning, including an interactive learning environment and all the basic medical knowledge of heart.
Supervisor:Ma MengPascal Fallavollita
Director:Nassir Navab
Student:
start-end: -
A General Reconstruction Framework for Constrained Optimisation Problems in Hyperpolarised 13C Metabolic MR Imaging. (Master Thesis)

Magnetic resonance spectroscopic imaging with hyperpolarised 13C agents is a novel technique that examines the cellular metabolic reactions in a minimally invasive fashion. Being acquired under challenging conditions of rapidly decaying signal and limited injected dose of the hyper-polarised substance, reconstructed images exhibit low signal-to-noise ratio (SNR) and artefacts. The goal of this work was to enhance the quality of images by means of iterative reconstruction with included a priori knowledge in a form of additional constraints and to propose a valid extension to the physical model of signal acquisition.
Supervisor:Prof. Dr. Michael Friebe, Prof. Dr. Axel Haase, Advisor: Dipl.-Phys. Markus Durst, Dr. Rolf F. Schulte
Director:Prof. Nassir Navab
Student:Elena Nasonova
start-end:2013/05/01 - 2013/11/01
Patient Specific and Image Based Modeling of Brain Tumor Progression (Master Thesis)

Supervisor: Peter Maday, Jana Lipkova, Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
A Tabletop Display as a Multi-Modal and Multi-User Interface for Collaborative Patient Data Analysis (Diploma Thesis)

For preoperative planning physicians being in charge with a particular patient meet in order to discuss the medical case and plan further steps for therapy. Some of the topics to be discussed during this meeting base on medical imaging data of the patient such as previously captured CT or MRI data that is displayed on monitors. However, the navigation through the stacks of slices of such volumetric data sets is performed by only one physician with standard input devices like a mouse or keyboard. Usually, several physicians sit or stand behind the computer to examine the patient’s anatomy within the region of interest in the medical imaging data and give commands, to the physician having control over computer input devices, for the data manipulating, such as browsing through the stack forward and backward or adjusting color parameters such as contrast or brightness of grey scale images. Current user interfaces have several limitations, such as the data visualization for only 2D images and the single user interaction. The long communication pipeline between various physician and the one controling the slice viewer makes analysis of imaging data difficult and time consuming. This thesis aims at the development of a user interface, based on tabletop system with a FTIR-technology, for the collaborative visualization and analysis of medical imaging data. Its goal is to improve the collaborative work of a medical team consisting of up to 6-8 persons. A large horizontal interactive and multi-touch capable display provides enough place for all participants of the meeting to be positioned around the table. During the collaborative discussion of the patient’s imaging data, each of them can simultaneously interact with the data projected on the table surface by simply touching the surface with his or her fingers. Moreover, the interactive and intuitive user interface is based on two sensors systems. Besides a multi-sensitive table surface allowing for interaction in 2D space based on gestures due to finger motion, the integration of an optical tracking system placed above the tabletop system allows for interaction in 3D space.
Supervisor:Christoph Bichlmeier
Director:Nassir Navab
Student:Latifa Omary
start-end: - 2008/11/15
Mobile Telephony Management in the Surgery Room (DA/MA/BA)

DECT phones usually increase the reachability of the surgeons and assistants. However they introduce noise and disturbance in the operating room. To solve this problem, the "situational awareness" of the system is to be used. With a system that analyzes the current situation in the surgery and aware of what’s happening can reduce the disturbance while handling phones more effectively. MITI research group is willing to get a student to research and implement a solution for a system that take the responsibility to reply on the phones while the surgeon is performing a surgical operation. The system should be intelligent enough to categorize the received phone calls according to their importance and prioritize them according to the analysis of the current situation in the operating room – and forward the call to the surgeon if it is really needed. Also it’s important that the system store all the information needed to recognize the call (e.g. phone number, importance, and maybe the subject of the call). Project includes research opportunities in selecting the most appropriate technology and intelligent algorithm to reduce disturbance while not missing the important information of the caller. Student has the opportunity to include his or her creative ideas in how to solve and implement the solution.
Supervisor:Dr. Armin Schneider (MITI), Ralf Stauder
Director:Prof. Hubertus Feußner (MITI), Prof. Nassir Navab
Student:
start-end: -
Surgical Workflow Software Infrastructure Based on Business Workflow Modeling Standards (IDP)

Surgical procedures can be described and structured by their workflow, phases, and hierarchical order of tasks and activities. This enables further analysis and comparison both of ongoing surgeries as well as for recorded datasets. Several methods for modeling of business processes have already been established, though due to the different methodical approach in this case, the available methods are not necessarily directly applicable to surgical process modeling. The aim of this work is to implement a common class structure suitable for surgical workflows and develop import and export functions to and from several known languages describing business process models (e.g. YAWL and BPMN). During the course of the implementation these languages should be evaluated for their fitness to describe surgical workflows with their specific requirements (e.g. variability in the process and probabilistic phase transitions).
Supervisor:Ralf Stauder, Daniel Ostler (MITI)
Director:Prof. Nassir Navab
Student:
start-end: -
Data-Mining and Survival Analysis using Electronic Health Records (DA/MA/BA)

Electronic health records (EHR) store a patient's hospital/physician visits, where disease diagnosis, prescribed medications, and results of diagnostics tests are recorded for each patient. As such EHR present an extensive description of a patient's health over time and can help to identify patient subgroups that are more susceptible to certain diseases. The challenges in analyzing this data are: 1. the data is highly heterogeneous, consisting of demographic information, lab measurements, questioners and clinical tests, 2. the number of variables is high with only a subset of variables being relevant when studying a particular outcome, and 3. only a small subset of variable is available for all patients. In this project, you are going to work with data from the Framingham Heart Study, which followed a cohort of people over 30 years to investigate which factors influence the risk of suffering from cardiovascular disease. Every 3-4 years, a follow-up was performed where hundreds of different indicators were recorded as well as any diseases or adverse events patients suffered since the last follow-up. This data can be used to develop a model that predicts the probability of experiencing one or more pre-defined events, such as myocardial infarction, cancer or death, at a given time point t. This type of analysis is called survival analysis, and models are referred to as survival models. Using this model, it is usually of most interest to find subgroups of patients at differ significantly in their expected survival. Since the data is heterogeneous (a mix of continuous and categorical variables), high-dimensional and correlated, traditional statistical learning techniques such as the Cox Proportional Hazards model cannot be applied.
Supervisor:Sebastian Pölsterl
Director:Prof. Dr. Nassir Navab
Student:
start-end:2014/12/01 - 2015/11/30
Gameentwicklung zum Thema Traumwelt/ Luzides Träumen (DA/MA/BA)

Supervisor:David A. Plecher
Director:Prof. Gudrun Klinker
Student:
start-end: -
Development of Pain Therapy Simulator (Facet joint infiltration) (DA/MA/BA)

The facet joint infiltration is a procedure in minimally invasive surgery. It aims at pain reduction at the small vertebral joints in the area of the lumbar and thoracic spine. The procedure consists of the placement of a very fine needle in the vicinity of the small vertebral joints and the medical therapy is subsequently conducted at the location where the pain occurs. The objective of this research project is (a) the development of a procedural simulator for facet joint infiltration in close colaboration with medical partners of the Klinikum rechts der Isar (Neuro-Kopf Zentrum) and (b) to conduct a study investigating the suitability of the simulator for training.
Supervisor:Patrick Wucherer, Philipp Stefan
Director:Prof. Dr. Nassir Navab
Student:Tba
start-end: -
Balloon catheter real-time simulation (BaCaRTS) (DA/MA/BA)

http://campar.in.tum.de/view/Students/ProjectForm
Supervisor:Patrick Wucherer, Philipp Stefan
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Multi-View Human Poses/Shape Tracking without Background Subtraction: a top-down approach (Hiwi)

A typical top-down human motion tracking pipeline requires good back subtraction, and therefore limits the applications to stay in indoor studios. In order to alleviate such a constraint, in this project we investigate the possibility to recover human motions directly with images. The 3D surfaces are expected to be textured, or at least contain per-vertex color information. Thus, the problem amounts to maximizing the similarity between the projected texture of surfaces and the image observations.
Supervisor:Chun-Hao Paul Huang, Dr. Slobodan Ilic
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
[[Students.BaKindl][]] ()

Supervisor:
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Student:
start-end: -
[[Students.MaTRUSMROrganMotion][]] ()

Supervisor:
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Student:
start-end: -
Parallax-free Xray stitching using depth based pose estimation (Bachelor Thesis)

Supervisor:Severine Habert Pascal Fallavollita
Director:Nassir Navab
Student:Christian Grimm
start-end:01/10/2014 -
Color Normalization for Histology Image Processing (DA/MA/BA)

Automated image processing and quantification are increasingly gaining attention in the field of digital pathology. However, a common problem that encumbers computerized analysis is the color variation in histology, due to the use of different microscopies, scanners or inconsistencies in tissue preparation. This project is to address the issue of color inconsistency in histology and develop an effective normalization technique.
Supervisor:Dr. Tingying Peng, Dr. Lichao Wang
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Below The Surface Exploration (Master Thesis)

Interaction in an immersive virtual environment (IVE) such as a CAVE or in our case FRAVEis an important issue to investigate. Whithin the scope of the project Virtual Arabia, we need to perform Below surface exploration. For that purpose we would like to use the magic-lens solution with the Clearview solution(TUM3D)
Supervisor:AmalBenzina and Marc Treib
Director:Prof. Gudrun Klinker
Student:Sandro Weber
start-end: - 2014/02/17
F the FRAVE (Hiwi)

The FRAVE is a Fully Reconfigurable CAVE at the Showroom I-Tüpferl in the Magistrale of the computer science building. It is mainly driven by a 3D terrain rendering software that uses Equalizer for parallelization of rendering. Our approach goes further. The F stands for Fully Equalizer does not yet support dynamic reconfiguration of displays. Your honorable job is to extend Equalizer to make the FRAVE what it is.
Supervisor:Amal Benzina
Director:Gudrun Klinker
Student:Evgeny Ilyushkin
start-end:2013/06/15 - 2013/12/31
Dynamic User Interface Generation for Workflow-Sensitive Medical Displays (Master Thesis)

In a modern operating room a plethora of medical devices are available, each coming with their own display and user interface. Due to sterility requirements though, the surgeon cannot directly interact with either device and has to rely on the circulator nurse to carry out his spoken commands on the devices. This level of indirection leads to delays and often frustration. Additionally to this, all devices have to be placed around the patient with a certain safety margin, thus not in an optimal viewing position for the surgeon. Therefore the surgeon usually has to interrupt his actions and turn towards the screen in order to use the displayed information. In this thesis a method should be developed to automatically generate a suitable UI based on a purely semantic and workflow-dependent description. The generated UI should mainly show a single, selected image source (e.g. pre-operative datasets or an intra-operative image stream) together with a limited number of important control elements. For this purpose specific medical interventions have to be analyzed in order to identify their surgical workflow and the image sources and control elements most important for them. Then a prototypical solution should be implemented and tested with medical partners. If time permits, devices with different form factors should be compared for optimal surgical usability.
Supervisor:Ralf Stauder, Alexandru Duliu
Director:Prof. Nassir Navab
Student:Mirije Shefiti
start-end:2014-08-15 - 2015-02-15
Longitudinal Analysis of the Cerebral Vasculature in Diabetic Rats (DA/MA/BA)

Supervisor:Markus Rempfler, Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
[[Students.BaTolstoi][]] ()

Supervisor:
Director:
Student:
start-end: -
Gameentwicklung zum Thema Ernährung (DA/MA/BA)

Supervisor:David A. Plecher
Director:Prof. Gudrun Klinker
Student:
start-end: -
[[Students.BaHell][]] ()

Supervisor:
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Student:
start-end: -
[[Students.BaBothe][]] ()

Supervisor:
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start-end: -
Multi-View Human Poses/Shape Tracking without Background Subtraction: a bottom-up approach (DA/MA/BA)

In this project, we investigate the possibility to find the middle ground between top-down and bottom-up strategies, in order to retain the merits from both. Specifically, one first recovers rough 3D skeletal poses with state-of-the-art bottom-up approach as initializations, and deform pre-defined human surfaces to fit to those poses. The generic human surface has to be adapted according to the size/scale of the skeleton. Skeleton-based animation such as linear-blend skinning, dual-quaternion-blend skinning is also worthwhile a look.
Supervisor:Chun-Hao Paul Huang, Dr. Slobodan Ilic
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
[[Students.BaWandinger][]] ()

Supervisor:
Director:
Student:
start-end: -
Glioma Modelling Using Spectroscopy and PET Images (DA/MA/BA)

Supervisor:Jana Lipkova; Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
Multiple Myeloma Staging using PET and CT images (DA/MA/BA)

Supervisor:Marie Bieth
Director:Prof. Dr. Bjoern Menze
Student:
start-end: -
Development of Silent Diffusion MR Acquisition Schemes with Reduced Distortion (DA/MA/BA)

The aim of the project is as threefold: first, to implement the silent diffusion MR sequence. We plan to work on echo planar imaging (EPI) sequence with sinusoidal readout and the zero echo time sequence, which has the advantage of reduced distortion and low acoustic noise compared to traditional EPI. However, the controlling the motion induced phase error in multi shot sequence is quite complex, which is the major challenge of the current project. The second goal is to develop proper reconstruction frame for the silent MR sequence. The third goal is to validate the method on volunteer and patients studies as soon as the sequence is developed.
Supervisor:Xin Liu; Prof. Dr. Bjoern Menze
Director:
Student:
start-end: -
Biological Image Processing (Hiwi)

The hiwi position lasts for 6 months and starts as soon as possible. The job is for implementing software and testing new ideas for semi-automatically or automatically processing microscopy images.
Supervisor:Dr. Lichao Wang
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Lymph Node Detection and Segmentation in MRI (Master Thesis)

Lymph nodes are critical anatomical structures that reflect the progress of many diseases. One important application, for example, is to estimate cancerous metastasis status by observing their sizes in CT or contrast-enhanced images. To achieve accurate estimation, high-quality segmentation of the lymph nodes is necessary. Currently, the prevalent way of realizing this is through clinical experts’ detection and delineation manually. Unfortunately, this way is extremely time-consuming and heavily dependent on the experts’ experience. Automatic lymph node detection and segmentation that can provide consistent and accurate results are highly desired.
Supervisor:Dr. Lichao Wang, Prof. Dr. Bjoern Menze
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Deep Context Learning for Image Understanding (Master Thesis)

Machine learning is widely used in various image understanding applications, e.g., object detection, segmentation and depth reconstruction. This project aims at using deep learning to incorporate additional constraints so that the estimation result more globally optimal. The student will work based on state-of-the-art computer vision and image processing works as well as some latest work of Dr. Lichao Wang.
Supervisor:Dr. Lichao Wang
Director:Nassir Navab
Student:
start-end: -
Master IDP: Automatic Anatomical Landmark Detection (IDP)

Fast and accurate detection of anatomical landmarks is highly desired for both clinical decision-making and higher-level image processing algorithms. This project aims at building a fully automatic method for such a purpose. The main methods that will be explored include image registration and machine learning.
Supervisor:Dr. Lichao Wang
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Ressourcenmanagement im Katastrophenfall (Diploma Thesis)

Medizinische Katastrophen mit einer hohen Anzahl an verletzten Personen stellen für alle beteiligten Einsatzkräfte eine große psychische und physische Herausforderung dar. Das Ziel des gesamten medizinischen Personals vor Ort ist die Rettung und Behandlung aller von der Katastrophe betroffenen Personen. Die Einsatzkräfte werden jedoch in Katastrophen mit dem Problem konfrontiert, dass sich mehr behandlungsbedürftige Patienten am Schadensort befinden als mit den am Einsatzort befindlichen Rettungskräften behandelt werden können. Diese nicht-alltägliche Situation belastet alle involvierten Einsatzkräfte bis an ihre Grenzen, da sie sich häufig zwischen mehreren Patienten entscheiden müssen. Dies steht im starken Gegensatz zu der Alltagsarbeit von Ärzten, Rettungsassistenten und Rettungssanitätern, im Zuge derer jeder Patient unabhängig von der Schwere seiner Verletzungen die bestmögliche Behandlung genießt unabhängig von den dazu benötigten Ressourcen. Die im Vergleich dazu sehr nüchterne Herangehensweise in Katastrophen, Patienten im Rahmen der Sichtung Behandlungsprioritäten zuzuweisen ist einzig und allein eine Konsequenz der starken Ressourcenbeschränkung und der daraus resultierenden Problematik, dass nicht alle Patienten gleichzeitig behandeln werden können. Das Wohl aller erfordert die Zurückstellung von einigen Patienten zugunsten anderer, um so möglichst viele Menschen erfolgreich retten zu können.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Simon Nestler
start-end:2005/12/15 - 2006/06/06
Hough-based Similarity Measures in Intensity-based Image Registration (Master Thesis)

Supervisor:Mehmet Yigitsoy
Director:Prof. Nassir Navab
Student:Javad Fotouhi
start-end:Dec. 2013 - Jun. 2014
Augmented Reality in Transoral Robotic Surgery for Tongue Base Cancer (Project)

Augmented reality, by superimposing a virtual modeling of a tumor to the per-operative endoscopic view, would allow the precise identification of the tumor boundaries and could improve the efficacy and the tolerance of the tongue base carcinological surgery. To this end, some issues still need to be resolved in the field of augmented reality for soft tissues and notably the per-operative tissue deformation. The actual work of this project will aim to offer a solution by creating, with a simulation software (SOFA) a virtual biomechanical model of the tongue base area based on MRI data acquired preoperatively. The dynamic simulation created by this software will be superimposed in real time to the endoscopic per operative view which will allow the surgeon to visualized, during the surgery, the tumor boundaries and the tissular deformation caused by the surgery. The main objective of this Internship is to explore this option to initiate the implementation of an augmented reality system in trans-oral robot assisted surgery of tongue base cancer.
Supervisor:Philippe Poignet (Prof LIRMM Montpellier), Nabil Zemiti (MC LIRMM Montpellier) , Diana Mateus
Director:
Student:
start-end: -
[[Students.DaTrendsAndGaps][]] ()

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start-end: -
[[Students.DaManeuveringMetaphors][]] ()

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start-end: -
[[Students.DaGlanceAR][]] ()

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start-end: -
Segmentation of blood stem cells in bright-field images (DA/MA/BA)

During the analysis of single-cell time-lapse experiments of proliferating and differentiating blood stem cells, we often have to deal with two types of clumped cells. First, cells that are dividing are inherently clumped for certain time points. Second, due to the rising amount of cells over time one can observe more and more groups of clumped cells, especially in late timepoints. An additional characteristic of our data is that the experiments show cells in all differentiation states with different morphologies. In this project, we would like to develop a method that is able to split clumped cells, but also preserves the shape of all cell types.
Supervisor:Carsten Marr, Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
Stem cell tracking (DA/MA/BA)

Develop/improve existing auto-tracking algorithms for improving and automating manual tracking and considering the biologists needs
Supervisor:Carsten Marr and Diana Mateus
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Segmentation of embryonic stem cells in fluorescent images (DA/MA/BA)

Supervisor:Carsten Marr, Diana Mateus
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Location-Based Augmented Reality Gaming (DA/MA/BA)

Supervisor:David A. Plecher
Director:Prof. Gudrun Klinker
Student:
start-end: -
Dynamische Kalibrierung eines Lokalisierungssystems basierend auf einer drahtlosen Technologie (DA/MA/BA)

Lokalisierungssysteme werden immer häufiger in Kliniken zur Patientenüberwachung oder dem Gerätemanagement eingesetzt. Bei dieser Arbeit soll ein bestehendes Lokalisierungssystem basierend auf einer drahtlosen Technologie wie WLAN oder RFID optimiert werden. Aktuell wird eine Position des Lokalisierungssystems über Signalstärkemessungen berechnet. Diese Berechnung geschieht auf Basis eines Modells, welches Kalibriermessungen verwendet, die bislang nur einmal aufgenommen werden. Durch Interferenzen und Umgebungseinflüsse kommt es zu Schwankungen in den Signalstärkemessungen und der berechneten Position. In dieser Arbeit soll eine dynamische Kalibrierung untersucht werden, die die Messungen automatisch in bestimmten Zeitabständen durchführt und in das Modell mit einbezieht.
Supervisor:Gel Han
Director:Prof. Gudrun Klinker
Student:
start-end: -
Marker-based inside-out tracking for medical applications using a single optical camera (Master Thesis)

Nowadays, tracking and navigation for small imaging systems are performed mainly by devices based on infrared cameras or electromagnetic fields. These systems impose some disadvantages for the use with freehand devices such as gamma cameras or ultrasound probes: a separate system for “Outside-in” tracking is needed, which causes the main issue of a required line-of-sight between the tracking system and the tool to be tracked in the surgical environment. To solve this problem, the idea is to have a small add-on system attached to the devices being tracked. The add-on system contains of an optical camera to track several markers that are attached to the patient and calculate the inverse trajectory, i.e. the movement of the device. The idea of this project is to develop a tracking software, the “inside-out” tracking technique, with the required data set to have more accurate tracking and image fusion process. An algorithm for multi marker tracking and calculation of "best pose” will be implemented and the problems of illumination, occlusion, and stability will be addressed. Finally, the accuracy will be evaluated and compared to other tracking modalities, especially optical and electro-magnetical tracking.
Supervisor:Philipp Matthies
Benjamin Frisch
Director:Nassir Navab
Student:Shih Chen-Hsuan
start-end: -
Predicate-based PET-MR visualization (Master Thesis)

The combined visualization of multi-modal data such as PET-MR is a challenging task. The recently introduced predicate paradigm for visualization offers a promising approach to reduce the dimensionality and complexity of the classification (transfer function) domain and provides the clinician with an intuitive user interface. The goal of this project is to extend this technique to multi-modal visualization and apply it to for instance to PET-MR scans of prostate.
Supervisor:Christian Schulte zu Berge? Benjamin Frisch
Director:Nassir Navab
Student:Faisal Ibne Mozhher
start-end: -
Design and optimization of collimators for handheld gamma cameras (Master Thesis)

In nuclear medicine, the choice and configuration of the detector system plays a crucial role in defining the quality of the final image. In particular, the performance of handheld gamma cameras depends on the design of the collimator. The choice of a collimator always represents a compromise between the size of the field of view (FOV), the sensitivity, and the spatial resolution. Sentinel lymph node (sLN) diagnostics can be considered as a case requiring a small field of view (SFOV). Modelling collimators for SFOV imaging may allow to improve lesion detectability, achieve better resolution, and sensitivity. The goal of this work is the development of a framework for collimator optimization, allowing to select the best configuration for each clinical situation.
Supervisor:Benjamin Frisch Thomas Wendler
Director:Nassir Navab
Student:Volodymyr Cherniy
start-end: -
Optimization of models in Freehand SPECT reconstructions (DA/MA/BA)

Nuclear imaging is a commonly used tool in today's diagnostics and therapy planning, giving necessary information about metabolic functions in the patient's body. They employ radioactive tracers which are injected to the patient and follow there a specific metabolic pathway. With the use of radiation detectors these tracers can then be imaged, for interventional use however the current methods suffer from drawbacks which limit their application. Tomographic systems like PET (Positron Emission Tomography) and SPECT (Single Photon Emission Computed Tomography) have too high acquisition times and are too bulky for intra operative use while nuclear probes and gamma cameras only provide 1D and 2D information. Over the last years a new imaging modality, called freehand SPECT, was developed at our chair to overcome these shortcomings. Freehand SPECT combines a nuclear probe with an optical tracking system to obtain its position and orientation in space synchronized with its reading. These informations can be used to compute a tomographic reconstruction of an activity distribution. This is done by discretizing the volume of interest into voxels xi with unknown activity values a(xi) so the readings of the probe can be regarded as a linear combination of the contribution of each voxel c(xi) to that reading r:

r = c(xi)a(xi)

A set of measurements then yields a system of linear equations and by inverting that system the activity in each voxel is obtained. For the inversion then the contribution of each voxel to each measurement is needed. That contribution is approximated by models of the detection physics. With a known ground truth of the activity distribution the system of linear equations can also be solved for the contribution of a voxel to the reading, by using the existing models as boundary conditions. The computed contributions could then be again used to optimize the models used for reconstruction which is the goal of this work.
Supervisor:Alexander Hartl
Director:Nassir Navab
Student:
start-end:01.01.2012 -
Histology Fold Detection (DA/MA/BA)

This project is part of a larger project that aims at the registration of histology volumes to in-vivo volumes. Before the registration is performed, first a histology volume needs to be reconstructed from histological slices. The reconstruction of histology volumes is performed in three stages first the embedding of a sample in paraffin block; second, the slicing (cutting) the block and imaging the slices; and third, the reconstructing a 3D volume from the 2D slices. One of the difficulties encountered in reconstruction is that the slicing causes deformations shears and tears and folds in the slices, which introduce "inconsistencies" between subsequent slices. The goal of this project is to classify the slices corrupted by such deformations and to detect the tears and folds in the image.
Supervisor:Martin Groher and Diana Mateus
Director:Prof. Nassir Navab
Student:
start-end: -
Shape Guided Segmentation of cardiac boundaries (DA/MA/BA)

Prior shape information has been shown to be invaluable for segmenting cardiac boundaries. We develop new methods of exploiting such prior information to guide the segmentation by using techniques of machine learning or formulating the segmentation problem to fit our requirements in segmentation of 4D cardiac data. In this project, in collaboration with the German Heart Center in Munich, new methods for accurate are provided and applied to heart images from different moralities.
Supervisor:Abouzar Eslami
Director:Nassir Navab
Student:
start-end:2011/11/01 -
Coupled Curves Segmentation (DA/MA/BA)

The term of coupled curves refers to two or more boundaries bounded biomechanically or anatomically. Some examples are luminal and outer borders of the vessel in intravascular ultrasound images, the myocardial borders of heart in different cardiac modalities like Echocardiography and MRI, retinal layers in optical coherent tomography of eye etc. Coupling these boundaries and taking into account their interdependency efficiently assists segmentation of weaker boundaries by the guide of stronger ones. This project is an extension to our recently developed segmentation approaches by modifying the formulation to segment coupled curves. The primary deliverable is segmentation of double boundaries and can be followed to the secondary deliverable, i.e. segmentation of multiple boundaries depending on the performance of the researcher. Platform of the project is visual programing with mevislab. Preferred coding language is C++ Nevertheless matlab coding can be used for development. There are plenty of applications to the segmentation of coupled curves in medical image processing and the project has significant contribution with high impact to the community.
Supervisor:Abouzar Eslami; Athanasios Karamalis
Director:Nassir Navab
Student:
start-end:20/1/2012 -
Classification of AR Presentation Principles: Trends and Gaps in AR (Bachelor Thesis)

Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Monika Nill
start-end:2014/05/15 - 2014/10/15
Estimation of radiation exposure (Master Thesis)

The objective of the project is to estimate the radiation dose the hands of the surgeon receives. Using machine learing algorithms and the GEANT4 simulation framework the radiation dose is predicted. The hardware setup consists of a mobile C-arm/surgical simulator with multimodal sensors. The sensors are capable of recording depth and rgb values. Based on these values the hands of the surgeons are detected. Knowing where the surgeons hands are a predicition of applied radiation is made.
Supervisor:Patrick Wucherer; Séverine Habert
Director:
Student:Nicola Leucht
start-end:15.03.14 -
Modeling brain connectivity from multi-modal imaging data (Master Thesis)

Supervisor:Dr. Igor Yakushev & Dr. Kuangyu Shi
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Independent Component Analysis of Positron Emission Tomography Data (Master Thesis)

Positron emission tomography (PET) is a medical technique that generates functional images of the human body including the brain. Typically, covariance in brain PET data is investigated using so called seed-based correlation approach. I.e., values from one brain region are correlated with values from other brain regions or throughout the brain. Thus, this method is limited by the need for hypothesis about regions to be correlated. Recently, we successfully applied a hypothesis-free analytical technique known as independent component analysis (ICA) to identify covariance patterns in PET data (Yakushev et al., submitted). ICA is an advanced computational method for separating a multivariate signal into additive components (Hyvärinen and Oja, 2000). In the above study, we applied software called Group ICA Toolbox (GIFT, http://mialab.mrn.org/software/gift/index.html) that is actually developed for another imaging technique. However, PET provides a different kind of signal and has specific sources of variance. Thus, the ultimate aim of this work is to evaluate performance of ICA in PET data. The following research questions should be addressed in a series of simulation experiments optimal number of components, reproducibility of the algorithm. Ideally, the algorithm should be implemented in as a user-friendly image analysis tool.
Supervisor:Dr. Igor Yakushev
Director:Nassir Navab
Student:
start-end: -
A flexible framework for realistic convolution-based real-time ultrasound simulation (DA/MA/BA)

Medical ultrasound imaging is receiving increasing importance, due to its versatile usability both in pre-operative diagnostics and monitoring, as well as intra-operative navigation and real-time update of the surgical plan. The simulation of medical ultrasound imaging is an important task and has several application areas, such as pre-operative planning and simulation of the surgical procedure, intra-operative registration of a multi-modal pre-operative plan to the intra-operative scene (e.g. involving CT imaging), multi-modal registration (US-CT, US-MRI) as well as visual servoing of robotic ultrasound acquisition. Ultrasound simulation approaches are prone to trade-offs between speed and realism. Very fast approaches based on ray-casting of US images from CT deliver rough approximations of US images, which are useful e.g. for registration in real-time and intra-operatively. In contrast to that, physically realistic simulations based on e.g. models of wave-propagation in human tissue yield images which match the real image closely, but these methods are typically very slow in execution. Convolution-based approaches take an in-between position between the two approaches, allowing for very fast (i.e. real-time) simulation, but offering realistic features such as speckle patterns. This thesis aims at understanding the physical process of ultrasound imaging fully and developing a flexible framework for realistic and fast convolution-based ultrasound simulation.
Supervisor:Ahmad Ahmadi
Director:
Student:
start-end: -
[[Students.BaDechamps][]] ()

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start-end: -
Evaluation of Advanced real-time Visualization Techniques for Medical Augmented Reality (Bachelor Thesis)

In recent years GPUs have evolved from fixed pipeline to fully programmable highly parallel architectures. These advances have led to equal improvements in the field of real-time medical image visualization. Combined with modern video see-through head-mounted displays this offers great opportunities for real-time, high-quality augmented reality visualization of medical data in interventional or surgical settings. Especially in minimally-invasive procedures, detailed, task-specific, visualization aids the physician in understanding the patient-specific anatomy and supports the navigation of medical instruments to the region of interest, in absence of a direct line of sight onto the operating situs.
A possible medical AR configuration is to overlay real video camera images of e.g. a torso with a virtual image generated from 3D patient data. Recent approaches have dealt with the integration of hardware accelerated volume rendering into such an environment.
This work investigates the integration of advanced rendering techniques, such as virtual mirror and focus and context rendering for an improved visual perception of the augmented reality scene. Furthermore, real-time occlusion handling of real and virtual objects has been added. The techniques have been efficiently implemented in GPU programs and allow real-time visualization on computationally demanding stereo video see through AR systems.
Supervisor:Oliver Kutter
Director:Nassir Navab
Student:Matthias Wieczorek
start-end:2009/01/15 - 2009/06/15
Radiation Dose Reduction for Trabecular Bone Structure Analysis in Osteoporosis Diagnostics by Using Iterative Reconstruction (Master Thesis)

Supervisor:Peter Noel, Thomas Baum, Tobias Lasser
Director:Nassir Navab
Student:Felix Kopp
start-end:2013/12/15 - 2014/05/15
Methodological Categorization of Vessel Registration Techniques (Bachelor Thesis)

Supervisor:Stefanie Demirci,Maximilian Baust
Director:Nassir Navab
Student:Stefan Matl
start-end: -
Augmented Reality Tabletop Game (Bachelor Thesis)

Supervisor:Frieder Pankratz
Director:Gudrun Klinker
Student:Stefan Laimer, Florian Weinberger
start-end:16.07.2014 - 16.11.2014
CT Reconstruction with Object Specific Non-Standard Trajectories (Master Thesis)

Supervisor:Peter Noel, Tobias Lasser
Director:Nassir Navab
Student:Andreas Fischer
start-end:2013/11/15 - 2014/07/15
Iterative Iodine Detection and Enhancement Algorithm for Dual-Energy CT (Master Thesis)

Supervisor:Peter Noel, Tobias Lasser
Director:Nassir Navab
Student:Faegheh Nazari
start-end:2013/12/15 - 2014/06/15
X-ray Depth Map Reconstruction for Improved Interventional Visualization (Master Thesis)

Most minimally-invasive interventions are performed under continuous 2D X-ray imaging. However, recovering the 3D information is crucial for physicians to perform safer navigation and precise surgical instrument positioning. In the current clinical workflow, this requirement yields an increase in radiation and use of contrast agent whenever vessels need to be made visible. Improved and adapted visualization of X-Ray images has mostly been addressed in terms of 2D-3D image registration. Yet, the output of such algorithms is a projection matrix that, by itself, does not yield any meaningful visualization. It is the major aim of this master project to yield depth hints for improved interventional visualization. Having training datasets containing each an X-ray image and corresponding depth map, available, an X-ray depth model is to be built that is subsequently applied to any new incoming X-ray image to reconstruct corresponding depth hints.
Supervisor:Stefanie Demirci
Director:Nassir Navab
Student:Ulrich Konrad
start-end:May 2, 2014 -
Markerloses Tracking von Personen und Geräten im OP - Möglichkeiten und Ansätze (Bachelor Thesis)

Das Markerlose Tracking gewinnt in der Augmented Reality immer mehr an Bedeutung, zum Beispiel in den Bereichen der Automobil-Fertigungs- oder der Unterhaltungsindustrie (Motion Capture). Im Gegensatz zu normalen Umgebungen herrschen im OP ganz andere Bedingungen, die ein markerloses Tracking erschweren. Bei dieser Bachelor-Arbeit sollen verschiedene Möglichkeiten untersucht und Ansätze ausprobiert werden, wie man durch verschiedene Methoden des markerlosen Trackings Geräte und Personen im OP erkennen kann.
Supervisor:Gel Han
Director:Prof. Gudrun Klinker
Student:Sonja Vogl
start-end: -
Tomographic reconstruction and visualization of x-ray scattering tensor data (Master Thesis)

Supervisor:Andreas Malecki, Matthias Wieczorek, Tobias Lasser
Director:Nassir Navab
Student:Hessam Roodaki
start-end:01/04/2013 -
Gestyboard Backtouch 2.0: Weiterführung eines bestehenden Texteingabekonzeptes auf der Rückseite eines Android Tablet PCs (Project)

Im Rahmen des Forschungsprojektes SpeedUp ist ein User-Interface zu entwickeln, welches u.a. die besonderen Anforderungen von sogenannten Großschadensereignissen erfüllt. Als Plattform soll ein TabletPC (Touchscreen) verwendet werden. Diesbezüglich sind unterschiedliche Daten von beispielsweise Verletzten oder Rettungskräften nur mit Hilfe der Touch-Screen Oberfläche des TabletPCs einzugeben , so dass auch in zeitkritischen, instabilen Stresssituation die Einsatzkräfte in der Lage sind, die Formulare direkt am TabletPC auszufüllen und Daten vom Einsatzort an den Einsatzleiter weiterzugeben.
Supervisor:Tayfur Coskun
Director:Prof. Gudrun Klinker
Student:Christoph Bruns
start-end:2013/09/15 - 2014/03/15
Gestyboard 3.0: Long term evaluation (DA/MA/BA)

In dieser Arbeit soll eine bereits bestehende neuartige Multitouchtastatur (Gestyboard 3.0) in einer Langzeitstudie mit multiplen Sitzungen evaluiert und mit der der kömmlichen Touchtastatur sowie der klassischen Hardwaretastatur verglichen werden.
Supervisor:Tayfur Coskun
Director:Gudrun Klinker
Student:Phillip Schmitt
start-end: -
Gestyboard 4.0: User-centered iterative development of an innovative 10-Finger-System-based text input concept for touchscreens (Master Thesis)

In this thesis, the innovative 10-Finger-based touchscreen keyboard goes into its forth iteration. To overcome the lack of tactile feedback, we use unique gesture-to-key mappings for each finger according to the ten-finger touch-typing method. As a key feature, the Gestyboard only accepts keystrokes when they are performed with the finger corresponding to the ten-finger touch-typing method. This way, missing a keystroke is not possible, and therefore blind typing is naturally supported by the concept. The goal of the thesis is to implement different new input concepts and to conduct an user-centered evaluation to the first tendencies of the new input concepts.
Supervisor:Tayfur Coskun
Director:Prof. Gudrun Klinker
Student:
start-end: -
User supporting Visualisationmethods for Hand-Eye Calibration (DA/MA/BA)

Supervisor:Christian Waechter
Director:Gudrun Klinker
Student:Michael Boxhammer
start-end: -
Distance Visualization for HMD Interaction (DA/MA/BA)

Supervisor:Yuta Itoh, Christian Waechter
Director:Prof. Gudrun Klinker
Student:Maximilian Tharr
start-end: -
User Interface Design and Evaluation for Multimodal Imaging (DA/MA/BA)

Today's medicine revolves a lot around the combination of different imaging and tracking modalities to form a new system for Image-Guided Therapy. Recent research show promising results in the field of image registration and fusion. However, when adopting these novel techniques to the clinical environment, the systems are often inappropriate in terms of usability, design and simplicity. This thesis will investigate user interfaces for medical applications, the student will participate in the development an interface for the EU project EndoTOFPET and evaluate the usability in close cooperation with clinical personal.
Supervisor:Bernhard Fuerst, Ralf Stauder, Thomas Wendler
Director:Nassir Navab
Student:
start-end: -
Computational Modeling of Respiratory Motion Based on 4D CT (Master Thesis)

Respiratory lung motion has a serious impact on the quality of medical imaging, treatment planning and intervention, and radiotherapy. This motion not only reduces imaging quality, especially for positron emission tomography (PET), but also inhibits the determination of the exact position and shape of the target during radiotherapy. Based on prior knowledge of average tissue properties, patient-specific imaging (4D CT) and a surrogate signal, a computational motion model can be created. This enables researchers and developers to simulate and generate information about a respiratory phase not covered by the imaging procedure. Therefore, the internal deformation of the lung and its containing cancerous tissue can be computed and taken into account during further imaging acquisitions or radiotherapy.
Supervisor:Mehmet Yigitsoy
Director:Prof. Nassir Navab
Student:Bernhard Fuerst
start-end:2011/11/15 - 2011/06/15
Calculation of signal intensity-time curves from MR images of the beating heart (Master Thesis)

In order to assess whether a patient with a narrowing of a coronary artery has an increased risk for a heart at-tack, one is interested in quantitative parameters of the blood supply to the heart muscle. Currently those parameters could be judged only semi quantitative by visual analysis of a sequence of MRI im-ages: For that approximately 300 consecutive dynamic images are acquired by a MRI (magnetic resonance imaging) scanner. During the acquisition an intravasal CM (contrast medium) is injected and the distribution of the signal intensity increase caused by the CM is visually observed by a radiologist. The higher the increase of the observed signal intensity, the lower the risk of the patient is to suffer a hard attack in the future. To derive reliable statistical data from these measurements, the increase of the signal intensity must be measured quantitatively in each pixel of the image. That means that the signal intensity-time curves must be derived automatically for each pixel for a time period of approximately 1 minute. Due to the breathing and small movements of the patients during the acquisition period, the measured images could not be evaluated directly. The main objective of this work is to develop a mathematical method to “freeze” the movement of the heart. The second object should be to calculate the signal intensity-time curve in each pixel of the frozen sequence and visualize the result as a parameter image of the signal intensity peak.
Supervisor:Dr. Abouzar Eslami from CAMP
affil. Prof. Dr. Michael Friebe as liasion from CAMP and TUM-IAS
Director:Prof. Nassir Navab
Student:Radhika Tibrewal
start-end: -
Interventional Stent Deformation Tracking (Master Thesis)

Despite the incredible improvement of treating abdominal aortic aneurysms (AAA), the minimally invasive deployment of a stent graft within a diseased vessel may cause comorbidities induced by the stent itself or a malfunction. So far, only ex-vivo or in-vitro experiments analyzing the interaction between stent graft and weakened vessel wall have been performed. This project aims at finding a solution for the extraction of in-vivo stent graft deformation that is to be further used for quantitaive analysis of vessel wall deformation.
Supervisor:Stefanie Demirci
Director:Nassir Navab
Student:
start-end: -
Auto-Calibration of Spatial Sensor Information (DA/MA/BA)

Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker (Ph.D.)
Student:
start-end: -
Fluid Simulation - Realistic simulation of cement flow (DA/MA/BA)

The objective of this research work is the formulation of a computational model for realistic real-time simulation of the brittle, porous material of the bone and the interaction of bone cement and instruments with it. This is achieved using a GPU-accelerated mesh-free SPH approach based on the CT imaging data. The research goal contributes to the complete simulation of a minimally invasive surgery (MIS) called “kyphoplasty”. The procedure is conducted on patients with fractured vertebrae in order to set the spine into an upright position and stabilize the vertebrae. First a cavity with a balloon catheter in the vertebra is created. Afterwards the cavity is filled up with cement.
Supervisor:Patrick Wucherer, Philipp Stefan
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Hybrid Tracking for Intra-Operative Imaging: Fusion of optical, magnetic, robotic and radioactive tracking techniques (Master Thesis)

Supervisor:Bernhard Fuerst, Amit Shah
Director:Nassir Navab
Student:Felix Achilles
start-end:1.7.2013 - 1.1.2014
Registration of Multi-View Ultrasound with Magnetic Resonance Images (Master Thesis)

Supervisor:Bernhard Fuerst, Wolfgang Wein, Ahmad Ahmadi
Director:Nassir Navab
Student:
start-end: -
GUI Design and Development for Angiography-Based Catheter Tracking (IDP)

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Supervisor:Bernhard Fuerst
Director:Nassir Navab
Student:
start-end: -
Machine Learning for Automatic Tissue Characterization in Intra-Vascular Optical Coherence Tomography Images (DA/MA/BA)

Optical coherence tomography (OCT) uses light rather than ultrasound to record high-resolution images that permits a precise assessment of biological tissue. Used intra-vascular, OCT is increasingly used for assessing safety and efficacy of intra-coronary devices, such as drug-eluting stents and bioabsorbable stents. Obtained images provide insights regarding stent malposition, overlap, and neointimal thickening, among others. Recent OCT histopathology correlation studies have shown that OCT can be used to identify plaque composition, and hence it is possible to distinguish “normal” from “abnormal” neointimal tissue based on its visual appearance. The aim of this project is to develop machine learning algorithms for automatoc analysis of tissue in intra-vascular OCT.
Supervisor:Sebastian Pölsterl
Director:Prof. Dr. Nassir Navab
Student:Ignacio Sarasúa
start-end:2014/05/01 - 2014/12/15
Bayesian Vessel Tracking (Master Thesis)

Supervisor:Dr. Abouzar Eslami, Hamid Rezatofighi
Director:Nassir Navab
Student:
start-end: -
Simulation of Muscle Activity for an Augmented Reality Magic Mirror (DA/MA/BA)

We have previously shown an augmented reality (AR) magic mirror. We create the illusion that a user standing in front of the system can look inside the own body. The video of this system received a lot of attention and has been seen over 200.000 time on Youtube. We now want to build a system for education of human anatomy using augmented reality visualization. We want to use the system to visualize muscle activity.
Supervisor:Ma Meng
Director:Nassir Navab
Student:
start-end: -
Mounting an Augmented Reality Laser Projector on an Order Picking Trolley (DA/MA/BA)

Supervisor:Main.BjoernSchwerdtfeger
Director:Main.GudrunKlinker
Student:
start-end: -
Recording and Analyzing Tracking Data for a Sheet-Metal Processing Robot (DA/MA/BA)

In cooperation with the institute for metal forming and casting at the faculty for mechanical engineering, we are participating in a project in which a Kuka robot is used to process sheet metal in a driving machine. The goal of this thesis is to analyze the raw tracking data which is used to teach the robot, synchronize it with the driving machine and simplify it where possible.
Supervisor:Main.FlorianEchtler
Director:Main.GudrunKlinker
Student:
start-end: -
Kinematic Registration Method for Image-Free Navigated Total Knee Arthroplasty (DA/MA/BA)

Image-free orthopedic navigation software relies in general on a bone model that is intraoperative generated by identifying certain important landmarks on the actual bone and matching these landmarks to a model. In this thesis, a new registration method for a certain class of deformities will be developed that is based on the passive movement of the knee joint. The surgeon intraoperative defines the desired postoperative motion by moving the joint under certain pressure. From the kinematic data that is gathered using an intraoperative navigation system, the proposed software extracts the best position and size of the different components of the joint replacement and defines the necessary resection planes. The resections are then performed using the navigation system according to the plan. The proposed method involves extracting a desired virtual motion characteristic from the kinematic movement and matching these characteristics to the available implant surfaces using nonlinear optimization with certain constraints imposed by the implant and surgical technique. This leads to a kinematically optimized implant placement, which is expected to improve implant durability and function.
Supervisor:Martin Bauer
Director:Nassir Navab
Student:
start-end: -
Gestenbasierte Informationsvisualisierung mit einem optisch getrackten Datenhandschuh (ART) (DA/MA/BA)

Supervisor:nn
Director:Gudrun Klinker
Student:
start-end: -
Weitwinkel-basiertes Tracking für Portable See-Through Displays (DA/MA/BA)

Supervisor:nn
Director:Gudrun Klinker
Student:
start-end: -
Fast Contour Segmentation (DA/MA/BA)

Recent advances in image processing show impressive results in deformable contour tracking and object segmentation. These novel approaches should be implemented and evaluated for the purpose of human contour tracking in real-time scenarios. The overall aim of this thesis is to evaluate and compare at least two different methods and show advantages and disadvantages of their applicabillity for AR applications.
Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker(Ph.D.)
Student:
start-end: -
Statistical Iterative Reconstruction for Reduction of Artifacts using Spectral X-ray Information (Master Thesis)

Supervisor:Peter Noel, Tobias Lasser
Director:Nassir Navab
Student:Kai Mei
start-end:2012/11/15 - 2013/05/15
Entwicklung eines Widgets zur Steuerung einer Karte auf einem Multitouch Tisch (DA/MA/BA)

Ein Widget&#44 zum Verschieben, Zoomen und Drehen einer Landkarte soll entwickelt werden. Eine erste Version des Widgets existiert bereits (siehe Bild). Weitere Alternativen sollen entwickelt und evaluiert werden. Dieses Widget stellt eine Alternative zur Gesteninteraktion auf einem Multitouch Tisch dar.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:
start-end: -
Tracking and Visualization in ioRT (IDP/Klinisches Anwendungsprojekt)

Supervisor:Philipp Matthies
Director:affiliate Prof. Dr. Michael Friebe
Student:
start-end:16.10.2013 -
MR integration of an intra-operative gamma detector and evaluation of its potential for radiation therapy (DA/MA/BA)

Supervisor:Philipp Matthies
Director:affiliate Prof. Dr. Michael Friebe
Student:
start-end:15.10.2013 -
Tracking Add-On Camera System for gamma and ultrasound probes (DA/MA/BA)

Tracking and Navigation of instruments / systems and small imaging systems is performed using commercially available systems based on infrared cameras or electromagnetic fields. Both have advantages and drawbacks for use with handheld gamma cameras or ultrasound probes. Main disadvantage is that you require a separate system. In this work a small system ADD-ON is developed that is directly attached to the device that is being tracked.
Supervisor:Philipp Matthies
Director:affiliate Prof. Dr. Michael Friebe
Student:
start-end:15.10.2013 -
Understanding and optimization of a low energy X-ray generator for intra-operative radiation therapy (IDP)

The research activity is focused on the combination of minimal-invasive therapy techniques with diagnostic imaging and navigation modalities, e.g. application of intra-operative radiation therapy, MRI guided high focused ultrasound or intra-operative SPECT with MRI guidance. An initial development goal is to use advanced MRI imaging to find and localize small pathologies and subsequently perform minimal-invasive therapy with a small and lightweight X-ray generator and continuous intra-operative imaging for visualization and navigation. An in-vitro setup will be created to apply the low-energy X-rays to real cancer cells and study their biological effectiveness.
Supervisor:Philipp Matthies
Director:affiliate Prof. Dr. Michael Friebe
Student:
start-end:01.08.2013 -
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Supervisor:
Director:
Student:
start-end: -
Deformable Registration of Cine-MRI Images for Colonic Motility Analysis (IDP/Klinisches Anwendungsprojekt)

Functional gastrointestinal disorders such as chronic diarrhea are chronic conditions presenting with a significant socioeconomic burden and are usually associated with the colonic motility dysfunction. Therefore, it is necessary to study colonic motility in order to understand its effects on such conditions leading to an improved and more adequate therapy in the end. Existing techniques such as manometry or scintigraphy are either invasive and have long examination times or expose patients to ionizing radiation creating demand for a fast and non-invasive monitoring technique for the quantification of colonic motility. Functional cine magnetic resonance imaging (MRI) allows for noninvasive, fast dynamic imaging with a high tissue contrast. It provides the possibility to observe both anatomical and functional properties of the colon. Current analysis techniques are based on diameter measurements of colonic lumen on cine-MR images. In this thesis, several deformable registration techniques for semi-automatic diameter measurements will be investigated.
Supervisor:Mehmet Yigitsoy
Director:Prof. Nassir Navab
Student:Raphael Arias and Arianne Tran
start-end:01.01.2013 - 19.04.2013
Skeleton Animation for an Augmented Reality Magic Mirror (Bachelor Thesis)

The goal of this thesis is to implement a skeleton animation for an augmented reality magic mirror
Supervisor:Ma Meng
Director:Nassir Navab
Student:
start-end:April,2013 - Sabahattin Giritli
Segmentation of Fractured Bones (Master Thesis)

With the advent of computer aided surgery and planning, automatic post-processing of the acquired imaging data becomes more and more important but also challenging. Image segmentation is in many cases the first, very important but difficult step. A fully automatic method for segmenting bones would be highly desirable. However a few factors hamper the development of such a fully automated segmentation method. The quality of the datasets differs to a large extent in terms of contrast and resolution. The voxel intensity of the bones varies according to scan parameters and condition of the bone. The intensity of cortical and trabecular bone may be very similar in some cases. The density of osteoporotic bones is low and thus the contrast between osteoporotic bones and soft tissues is very small, in particular in fractured bones, where the trabecular bone directly adjoins to the soft tissues. In addition, it is very time consuming, inconsistent and hard to do a complete manual segmentation of the fractured bones. We look forward to propose a fast and efficient segmentation tool that effectively segments the fractures and at the same time is robust for using the output model in FEM analysis. Though the objective is to develop a segmentation tool that is as fully automated as possible, the idea is also to have the following features incorporated into the segmentation tool: semi-automatic segmentation, manual correction and output generation. The evaluation is done on CT datasets of various types of fractures in Department of Diagnostic and Interventional Radiology of Klinikum rechts der Isar in Munich.
Supervisor:Dr. Abouzar Eslami, Dr. Jan Bauer, Dr. Peter Noël
Director:Nassir Navab
Student:Deepak Murali
start-end: -
Robot-Assisted Vitreo-retinal Surgery (Master Thesis)

Pars Plana Vitrectomy surgery is a minimal invasive intra- retinal surgery that has revolutionized retinal surgery since it was rst proposed in the 1970's. This sutureless technique involves the use of smaller surgical instruments (25 gauge, 51mm in diameter) and was used in the cure of conditions not treatable before. Moreover, it proved to have lower complication rate and shorter healing period than standard vitreo- retinal surgery. The barrier towards an improvement of the outcomes of this technique lies, however, in the surgeon's abilities and dexterity. In this line, an assisting robotic master-slave device could enhance the surgeon's skills when manipulating the surgical tools. The slave device is in charge of manipulating the tools whereas the master device is ma- nipulated by the surgeon to control the master device. A master input device for the controlling of the existing master robot is to be designed. Several aspects concerning the operating room environment, surgery req- uisites, surgeon's manipulation intuition and compatibility with slave device should be taken into account when nding the optimal solution.
Supervisor:Dr. Abouzar Eslami, Ali Nasseri
Director:Nassir Navab, Prof. Alois Knol
Student:Monica Azqueta
start-end: -
Interventional Retina Tracking (Master Thesis)

Supervisor:Mehmet Yigitsoy, Dr. Abouzar Eslami
Director:Prof. Nassir Navab
Student:Aleksander Djurka
start-end:Nov. 2012 - Mar. 2013
Bachelorarbeit: User-Interface für digitale Formulare (Diploma Thesis)

Im Rahmen des Forschungsprojektes SpeedUp ist ein User-Interface zu entwickeln, welches u.a. die besonderen Anforderungen von sogenannten Großschadensereignissen erfüllt. Als Plattform soll ein TabletPC (Touchscreen) verwendet werden. Diesbezüglich sind unterschiedliche Daten von beispielsweise Verletzten oder Rettungskräften nur mit Hilfe der Touch-Screen Oberfläche des TabletPCs einzugeben , so dass auch in zeitkritischen, instabilen Stresssituation die Einsatzkräfte in der Lage sind, die Formulare direkt am TabletPC auszufüllen und Daten vom Einsatzort an den Einsatzleiter weiterzugeben.
Supervisor:Tayfur Coskun
Director:Gudrun Klinker
Student:Christian
start-end: -
Fast image fusion on foveated images (Master Thesis)

The goal of this thesis is to combine images from an intesified CCD (EMCCD) camera and an long wave infrared (LWIR) camera. The fused image should contain all salient features of the individual modalities. As the fused image is thought as an replacement for legacy analogous night vision, the fusion algorithm should provide at least 25 frames per second. To achieve high performance the images are to be foveated. A foveated image is an image which has been compressed by taking advantage of the perceptual properties of the human visual system, namely the decreasing resolution of the retina by increasing eccentricity. The thesis should elaborate how image fusion and foveation methods can be combined efficently while providing a good fused image.
Supervisor:Patrick Maier
Director:
Student:Janosch Peters
start-end:2013/02/15 - 2013/08/15
Kyphoplasty balloon simulation (DA/MA/BA)

Kyphoplasty, a percutaneous, image-guided minimally invasive surgery, is a recently introduced treatment of painful vertebral fractures which is being performed extensively worldwide. The objective of kyphoplasty is to inject polymethylmethacrylate (PMMA) bone cement under radiological image guidance into the collapsed vertebral body to stabilize it. Before injecting the cement, an inflatable balloon is placed in the vertebral body and subsequently inflated in order to restore the vertebral height and correct the kyphotic deformity caused by the compression fracture. After the balloon is deflated and removed from the vertebral body, the created cavity is filled with PMMA bone cement. The goal of the project is the implementation and validation of a kyphoplasty balloon simulation.
Supervisor:Patrick Wucherer, Philipp Stefan
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Touch Floor (Bachelor Thesis)

Large scale 3D Plasma TV on the ground are equipped with multi-touch capabilities. Make them available as User Interfaces. You'll be part of a international partnership with KAUST university.
Supervisor:Amal Benzina and Marcus Tönnis
Director:Gudrun Klinker
Student:Rolf Sotzek
start-end:2012/08/15 - 2012/12/15
Modellierung der Gruppendynamik bei dem Einsatz von vorausschauender Fahrerassistenz (Master Thesis)

Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Claudio Gusmini
start-end:2012/06/15 - 2012/12/15
Fog of Triage (Bachelor Thesis)

[DE] In dieser Arbeit soll das aus der Computerspiele-Community stammende Prinzip "Fog Of War" auf auf den Anwendungsfall im Rettungsdienst bezüglich der sogenannten Triage transferiert und evaluiiert werden. Aufgrund des Triage-Kontextes wird das daraus resultierende Konzept "Fog of Triage" genannt. Die Triage ist ein im Rettungsdienst etabliertes Verfahren, welches ursprünglich aus dem militärischen Bereich kommt, zum kategorisieren von Verletzungen bezüglich ihrer Kritikalität. Fokus liegt hier in der benutzer-zentrierten Entwicklung. Der ASB-München bietet hier als Verbundpartner im Übergeordneten Projekt SpeedUp Personal und Fachwissen an, die der Qualität der Arbeit zu Gute kommen.
Supervisor:Tayfur Coskun
Director:Gudrun Klinker
Student:Sebastian Klingenbeck
start-end:2012/05/15 - 2012/11/15
Visual Recognition of Surgical Actions Using a View-Invariant Descriptor (DA/MA/BA)

The task of action recognition inside the operating room can help on identifying the phase of an operation. It can also support the analysis of the workflow of an operation. Activity recognition has attracted a lot of attention during the past three decades, initially using a single camera and more recently multiple cameras [1]. In the current project, the task of surgical action recognition will be accomplished using a multi-camera system. The setup includes four CCD cameras installed on the ceiling of an operating room. The reason for the big number of cameras is the complex set-up of the operating room. It is not possible to cover the whole operating room with a single camera because of the occlusion and its dynamical environment. The proposed framework will be based on the idea of the Self-Similarity descriptors, which have been proved to give excellent results on the task of action recognition [2]. A view-invariant descriptor will help to recognize the same action from different cameras simultaneously.
Supervisor:Vasileios Belagiannis, Dr. Slobodan Ilic
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Development and implementation of a regularization framework for differential phase contrast tomography (Master Thesis)

Advances in imaging hardware have enabled differential phase contrast tomography with conventional X-ray tube sources. Here, iterative series expansion methods are applied in a weighted maximum likelihood framework to reconstruct absorption and phase contrast data jointly. To fully utilize the additional information content provided by the hardware setup, which measures absorption, phase contrast and darkfield information all at once, regularization terms incorporating this information have to be introduced in the maximum likelihood framework. The aim of this thesis is the development and implementation of several regularizers integrated into the existing reconstruction pipeline, as well as an evaluation of the different strategies in terms of imaging performance.
Supervisor:Guillaume Potdevin, Dieter Hahn and Tobias Lasser
Director:Franz Pfeiffer and Nassir Navab
Student:
start-end:2011/03/01 -
Ultrasound Training Simulator using a Haptic Feedback Device (DA/MA/BA)

Supervisor:Tobias Blum
Director:Nassir Navab
Student:Hongming Huai
start-end: -
Augmented Reality Game for Teaching Medical Skills (DA/MA/BA)

Augmented Reality (AR) is a very promising technology for training. Today 2D illustratio are used to teach complex three dimensional structures. AR allows to visualize object in 3D coregistered with the real world. In medicine, AR allows to view inside the patient an visualize organs directly on the patient. We have an existing AR system using a head mounted display (HMD) and a patient dummy. The goal of this project is to develope a game to teach medical skills by showing e.g. 2D slices and let the user select the corresponding slice from the physical phantom.
Supervisor:Tobias Blum
Director:Nassir Navab
Student:Andreas Spurny
start-end:2010/11/15 - 2011/05/15
Quantifiable Indices Towards Estimating Hemodynamics in Cerebral Aneurysms and the Efficacy of Flow Diverter Deployments (Master Thesis)

A cerebral aneurysm is an abnormal dilation of a blood vessel in the brain that harbours the risk of rupturing. Hemorrhages resulting from ruptured aneurysms are a major cause of morbidity and mortality throughout the world. Flow diversion is an emerging endovascular treatment option that aims at redirecting blood flow away from the aneurysm neck by deploying a stent-like device (flow diverter) inside the parent artery. This local change in hemodynamics supposedly leads to flow stasis and thrombus formation inside the aneursym, eventually cutting it off from the normal circulation of blood. To decide whether an induced blood flow alteration is sufficient for aneurysm occlusion is an essential task that the treating doctor currently fulfills by visually comparing cerebral angiography sequences taken before and after flow diverter placement. Thus far, several angiography-based methods have been proposed that try to quantify the effectiveness of a flow diverter in reducing the flow inside the aneurysm. This research project focuses on evaluating these state-of-the-art methods while developing novel approaches towards predicting the efficacy of flow diverter deployments.
Supervisor:Markus Kowarschik,Richard Brosig,Peter Maday
Director:Prof. Nassir Navab
Student:Tobias Benz
start-end: -
Semiautomatic Registration from optical Ad-Hoc Tracking Modalities using CAD Models (DA/MA/BA)

Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker (Ph.D.)
Student:
start-end:2011/08/01 -
Curvelet sparse regularization for differential phase-contrast X-ray imaging (Master Thesis)

Advances in imaging hardware have enabled differential phase contrast imaging (DPCI) with conventional X-ray tube sources. So far, iterative series expansion methods have been applied in a weighted maximum likelihood framework to reconstruct absorption and phase contrast data using the pixel basis functions. This work aims at using the curvelet frame, which provides an optimal sparse representation of C2-functions with singularities along C2-curves. We will integrate and evaluate different curvelet sparse regularization based reconstruction techniques, including multiple discretization methods. We will show, that curvelets further provide a suitable data representation for DPCI tomography while supporting an analytical formula for the forward model for both, X-ray absorption and DPCI. In contrast to the pixel basis functions, this enables discretization free formulation of the forward model. Within the scope of this thesis, the mathematical theory for curvelet based phase-contrast X-ray reconstruction will be derived and methods for sparse regularization will be applied. Finally, we will apply our method to X-ray absorption and DPCI data from both phantom and real data.
Supervisor:Jakob Vogel, Tobias Lasser, Jürgen Frikel
Director:Nassir Navab
Student:Matthias Wieczorek
start-end:15/06/2012 - 20/12/2012
Implementation and Evaluation of Motion-Based Input for a Volleyball Game (Bachelor Thesis)

Supervisor:Andreas Dippon
Director:
Student:Johannes Schmidt
start-end:2012/08/15 - 2012/12/15
Object Recognition Using Microsoft's KINECT (DA/MA/BA)

Released by Microsoft in November 2010, KINECT is a brand new technology introduced for new gaming experience with Xbox. Equiped with a RGB camera and depth sensor based on infrared structured light, KINECT permits to interpret 3D scene information. In this project, we propose to revisit the problem of object recognition based on both RGB and depth images.
Supervisor:Diana Mateus, Olivier Pauly
Director:Nassir Navab
Student:
start-end:2011/01/01 -
Endoscopic Cluster Matching for Optical Biopsy Localisation (DA/MA/BA)

Diagnosis and treatment of the oesophageal cancer, the most rapidly increasing cancer in Western World, requires periodic examination of the tissue under endoscopic guidance together with systematic biopsies. During these examinations a flexible endoscope is inserted through the mouth of the patient into the oesophagus and biopsies (samples) are taken from suspicious regions of the tissue for pathologic investigation. Recent developments in bio-photonics resulted in a new technology called probe-based Confocal Laser Endomicroscopy (pCLE) that enables real-time visualisation of cellular structures during the endoscopy without removing any tissue sample. A fibered confocal microprobe is introduced through the instrument channel of the endoscope to perform so called “optical biopsies”. Although this procedure has several advantages over the conventional biopsy, it also introduces the new challenge of retargeting the optical biopsy locations in the follow-up examinations. Due to the lack of any markings such as a scar left on the tissue, re-targeting the optical biopsy locations becomes a challenge for endoscopic expert. Recent work towards guiding the endoscopic expert in re-targeting optical biopsy sites presented very promising first step towards a complete framework for optical biopsy localisation. The aim of this project is to advance these techniques by an automatic cluster matching algorithm in order to develop a fully automatic system for optical biopsy re-targeting.
Supervisor:Selen Atasoy
Director:
Student:
start-end: -
Evaluation of the impact of super resolution on tracking accuracy

Evaluierung der Auswirkungen von Super Resolution auf die Tracking-Genauigkeit
(Master Thesis)

Super resolution is a technique to generate a high resolution image from one or more low resolution pictures. This technique allows the usage of normal cost cameras or even webcams to receive data that would normally need better hardware. One of the purposes of this paper is to determine whether this data is usable for tracking as well as receiving more precise and still accurate sub pixel positions in the enhanced images. To be able to make a test of the impact of super resolution on tracking accuracy the first task to accomplish is to create a simple and fast to use super resolution program. After that an analysis can be done with several tests.

deutsch:
Super Resolution ist eine Technik, mittels derer aus einem oder mehreren Bildern ein höher auflösendes Bild errechnet wird. Dies würde die Möglichkeit eröffnen, mit einer günstigen Kamera oder sogar einer Webcam Daten zu erhalten, für die normalerweise eine bessere Hardware nötigt wäre. Eine der Aufgaben dieser Arbeit ist festzustellen, ob diese Daten für Tracking, sowie für das Erhalten genauerer und dennoch korrekter subpixel Positionen in den verbesserten Bildern geeignet sind. Um die Auswirkung von Super Resolution auf die Tracking-Genauigkeit zu messen, muss als erstes ein einfach und schnell zu benutzendes Super Resolution Programm erstellt werden. Anschließend kann mittels einer Reihe von Test eine Auswertung erfolgen.
Supervisor:Prof. Gudrun Klinker, Ph. D.
Director:Frieder Pankratz
Student:Florian Liegsalz
start-end:15.07.2012 - 15.12.2012
Parallel Tracking and Mapping in UbiTrack (Master Thesis)

Supervisor:M.Sc.-Inf Frieder Pankratz
Director:Prof. Gudrun Klinker, PhD.
Student:TobiasWeigl
start-end:15.01.2013 -
Count rate saturation effects in handheld gamma detectors: Evaluation and influence on 3D intra-operative imaging (DA/MA/BA)

Gamma detectors are widely used in nuclear medicine, especially for localization of malign structures (e.g. cancer) that are not palpable or not visible using other imaging modalities such as ultrasound or computed tomography. In radio-guided surgery, hand-held gamma detectors are used to guide the surgeon to structures marked by radiotracers such as tumors and metastatic lymph nodes. Combining such detectors with optical tracking systems enables 3D imaging inside the operating room to improve guidance and to verify that all potentially malign structures have been removed during surgery. However, image quality is degraded by several factors, one of which is the count rate saturation in such detectors. Count rate saturation can have different origins, e.g. dead time in the detection material (scintillation crystal or semiconductor) or pulse pile-up. The purpose of this project is to study this behavior with different detectors and come up with a model to adjust for it in order to improve image quality. The student working on this project will have the possibility of working in a clinical environment with patient contact as well as gaining experience in project management with an industrial partner.
Supervisor:Philipp Matthies
Director:Nassir Navab
Student:
start-end:2012/10/01 -
Comparative Study of Path Variants for implicit Guidance in a simulated 3D Environment (Master Thesis)

Simulation systems may generate points of interest (POI) somewhere in the simlated volume. Let's assume we (the system) know, where such POIs are. Then, a system is needed to guide the user to that POI. But sometimes you have to be at a certain location to be able to see it in a specific direction... We already developed such a system for guidance and got much insights into furter demands. Your job will be to get into the previous work, to port the system to our rendering environment and to extend it according to the demands already found and with stuff that we discuss in our discussions.
Supervisor:Marcus Tönnis and Amal Benzina
Director:Gudrun Klinker
Student:Manuel Wolf
start-end:2012/05/15 - 2012/11/15
Die Klassifizierung und Analyse von Darstellungsprinzipien in AR-Anwendungen (Bachelor Thesis)

The AR design space is large. We aim on classifying this design space. We then want to find, which combinations of presentation principles have not been used so far or are used to a larger extent. Earlier work already has been done: A paper lists the very beginning. A thesis got deeper into it, leading to a technical publication. We now want to have a look on systems that have not been built in context of the ISMAR conference series, but rather in application near concerns.
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Ulrich von Waldow
start-end:2012/05/15 - 2012/09/25
Animation von typischen Abläufen von Situationen in einem MANV in digitaler Kartendarstellung und darauf basierende Anforderungsanalyse mit dem ASB (Bachelor Thesis)

In dieser Arbeit sollen verschiedene Situationen eines MANVS (Massenanfall von Verletzten) animiert werden. Ziel ist es, diese Animationen Personen aus dem Rettungsdienst zu zeigen und sie die Situation interpretieren zu lassen. Hierbei sind explizite Situationen einzubauen, in denen beispielsweise Einsatzkräfte ineffiziente Wege gehen. Der Proband soll dann immer sagen, in welchen Situationen er eingreifen würde, wenn er dies keine Animation, sondern Real-Time Daten wären. Das Tool womit die Animationen erstellt werden soll, kann sich der Benutzer frei aussuchen. Optionen sind: Flash, Blender, Microsoft Blend ....
Supervisor:Tayfur Coskun
Director:Gudrun Klinker
Student:Teodora Velikova
start-end:2012/05/15 - 2012/11/15
Gestyboard 3.0: Weiterführung und Evaluiierung einer innovativen Texteingabe Technik (DA/MA/BA)

In dieser Arbeit soll Optimierungen einer innovativen Multitouch-Tastatur entwickelt, implementiert und evaluiert werden. Die Tastatur soll das Problem von Software-Tastaturen (Touchscreen-Tastaturen) lösen, dass durch das fehlende haptische Feedback entsteht. Mit unserer innovativen Tastatur, dessen Grundkonzept bereits steht, soll blindes Tippen ermöglicht werden. Sie basiert im Wesentlichen auf intelligente Gesten und der gleichzeitigen Verwendung aller 10 Finger. Für weitere Informationen EMail an coskun@in.tum.de This theses is about implementing a multitouch-keyboard based on gestures which can be used with 10 fingers at the same time. A well-known problem in this field is the lack of haptic feedback. This is the reason why the performance of a virtual keyboard is much lower than the performance of a real keyboard. The goal of this thesis is to get to know if users are able to be as performant with the new innovative multitouch keyboard as with the real keyboard. Therefore, different alternatives of the same concept should be implemented and evaluated. There is already a concept defined but students are welcome to bring their your own ideas into the project.
Supervisor:Tayfur Coskun]
Director:Prof. Gudrun Klinker
Student:Thomas Faltermeier
start-end:2012/05/15 - 2012/11/15
Multitouch Keyboard Kinect basiert (Bachelor Thesis)

In dieser Masterarbeit soll eine virtuelle Tastatur entwickelt werden, die mit Hilfe der Kinect von Microsoft arbeitet. Die Erkennung der einzelnen Finger und der Druckpunkte soll durch die Kinect realisiert werden. Der Student kann sich hier kreativ einbringen und selbstständig Lösungen erarbeiten. Bei Interesse bitte EMail an coskun@in.tum.de.
Supervisor:Tayfur Coskun; Andreas Dippon; Eva Artinger
Director:Prof. Gudrun Klinker
Student:Johannes Roith
start-end:2012/05/15 - 2012/11/15
3D augmented virtuality sketching (Master Thesis)

Within the interdisciplinary project "Collaborative Design Platform" http://cdp.ai.ar.tum.de/ a large-scale multitouch table was developed to aid urban planning and prototyping. The table interacts with the user over a multitouch surface, and can also scan objects positioned on top of it in 2.5 dimensions. In order to enhance its presentation cababilities, an additional display will be added, which offers a 3D augmented virtuality perspective on the workspace, which reflects both the physical and the virtual aspect of the scene. The view can be controlled using a special 3D mouse. In addition, the user can sketch and draw directly on the virtual world presented on the new display.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:Violin Yanev
start-end: -
Automatic assignment of paramedics on a multitouch table (DA/MA/BA)

Within the project SpeedUp (http://www.speedup-projekt.de/) we develop a map application for mass casualty incidents. This map application shows patients and paramedics. The application should assign automatically the best possible paramedic to the patient with highest priorization. TISCH, a multitouch table, which includes an ftir multitouch sensor and shadow tracking developed by Florian Echtler should be used as hardware. As development framework Microsoft Blend/ VisualStudio? / WPF should be used and implemented in C#.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:
start-end: -
Laparoscopic Freehand SPECT (Master Thesis)

Supervisor:Tobias Lasser, Thomas Wendler
Director:Nassir Navab
Student:Ayah Haidar
start-end:2012/04/15 - 2012/10/15
Ultrasound Imaging (DA/MA/BA)

A variety of student projects in the area of ultrasound imaging. The projects touch different areas of computer science and engineering.
Supervisor:Christian Wachinger, Athanasios Karamalis
Director:Nassir Navab
Student:
start-end: -
Multimodal Consultation System for Patient Education in Plastic Surgery (Diploma Thesis)

Supervisor:Christoph Bichlmeier
Director:Nassir Navab
Student:Patrick Wucherer
start-end:1.7.2008 -
BOOPS: Breast RegistratiOn fOr Plastic Surgery (DA/MA/BA)

Supervisor:Christian Wachinger,Tobias Blum
Director:Nassir Navab
Student:Martin Sälzle
start-end: -
A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition (DA/MA/BA)

The aim of the project is to develop a software platform to compute the 3D distribution of dose deposited in tissue samples during micro-CT image acquisition performed with monochromatic synchrotron radiation. The dose can be divided into two components: the primary dose deposited directly by the incident X-ray beam and the secondary dose deposited by scattered and fluorescence X-rays. Previous work carried out in the context of synchrotron stereotactic radiation therapy has shown that a deterministic algorithm can be used to compute the primary dose map [1], whereas a hybrid approach (combination of Monte Carlo and deterministic calculations) is well suited to the calculation of the secondary dose [1,2]. The aim of the master internship is to adapt this method to assess dose deposition inevitable (but optimizable) in CT image acquisition. Special care will be taken to relate optimal hybrid parameters to the geometrical/physical CT set-up. The software development will be carried out in the framework of the Geant4/GATE Monte Carlo code. The final goal is to obtain a tool which can permit to calculate doses in biological samples, but that also can be used to simulate the experiment and optimize the experimental procedure.
Supervisor:P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud
Director:
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start-end: -
Development and Evaluation of A Freehand SPECT Scanning Simulator (Master Thesis)

Supervisor:Tobias Lasser
Director:Nassir Navab
Student:Negin Zarnegar
start-end:2011/12/15 - 2012/06/15
Investigating Haptic Interfaces for Viewpoint Control Metaphors in Virtual Environments (Bachelor Thesis)

A major issue in Virtual Environments is the process of navigating through a Virtual World. The underlaying base concept for the interpretation of the user’s input in such a setup is the usage of Navigation Metaphors. By way of example, holding the input device vertically like a steering wheel implies a car driving metaphor, whereas the horizontal usage like a gamepad indicates a mental model of flying an airplane. To get insight whether there is a specific holding angle that marks the usage of a certain metaphor a user study had been conducted. The starting point for this objective was the assumption that the current metaphor depends on the holding angle of the input device when the user begins a manoeuvre. The input method was the two handed, spatial moving of an optical tracked tablet computer. Before each manoeuvre, specific degrees of freedom of this device have been blocked using a haptic feedback unit installed on it.
Supervisor:Amal Benzina and Marcus Tönnis
Director:Gudrun Klinker
Student:Maximilian Weber
start-end:2012/03/15 - 2012/07/16
Motivationsanalyse des Designs eines On-Board Systems zum Training für Ökologisches LKW-Fahren (Bachelor Thesis)

Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Thiemo Taube
start-end:2012/03/15 - 2012/08/01
Follow The Magic Lense (Master Thesis)

Interaction in an immersive virtual environment (IVE) such as a CAVE or in our case FRAVEis an important issue to investigate. To be able to select and manipulate the virtual object displayed in VR world. The User can do it through the Magic Lenses, Where the Frave provide the contextual view and the tracked Handheld device the focus view. The view frustum is calculated using handheld device position and orientation.
Supervisor:Amal Benzina and Marcus Toennis
Director:Prof. Gudrun Klinker
Student:Alba Huelves
start-end:2012/02/15 - 2012/08/15
Multitouch Gesten Leitfaden (Bachelor Thesis)

Multitouch Geräte, die mit Gesten bedient werden, werden immer beliebter. Die Anzahl der unterschiedlichen Gesten wächst dabei zunehmend. Mittlerweile ist ein ganzer Dschungel an verschiedensten Gesten vorhanden. Diese Arbeit soll Licht in das Dunkel bringen. Ein Überblick über die verschiedenen Gesten soll gegeben werden. Welche Geste wird für welche Interaktionen verwendet? Woher stammen die Gesten? Auf welchen Geräten werden die Gesten ausgeführt? (Mobiltelefone, TabletPCs?, Grafik Tablet, Magic Mouse, Multitouch Tisch…). Da es sich bei dieser Arbeit um eine theoretische Arbeit handelt, liegt der Fokus auf der Literaturrecherche und dem Auswerten der Literatur sowie dem der entsprechenden visuellen Darstellung der Daten. Letztenendes soll ein Leitfaden für den Einsatz von Gesten entwickelt werden.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:Natascha Abrek
start-end: -
2D/3D Registration of CT to an X-ray Mosaic (DA/MA/BA)

During long bone fracture reduction surgery, one X-ray image mosaic is created by stitching several individual fluoroscopy images in order to show the entire bone structure of interest to the surgeons. Preoperative assessment and decision making is usually based on standard 2D X-rays of the injured limb using a planning software. The system allows lines to be drawn by the surgeon and merged directly on the X-ray. While navigating the reduction of the fracture intraoperatively, these lines provide graphic and numerical descriptions of the reduction. Surprisingly, 3D information from computed tomography (CT) is not used intraoperatively in order to help guide surgery. The aim of this project is to develop a new clinical protocol involving the 2D/3D registration of preoperative CT data to the individual X-ray images and the final X-ray mosaic. We hypothesize that the creation of multiple DRRs from CT fused together with the X-rays will help guide proper positioning and alignment of the patient’s injured bone. As an additional constraint to correct re-alignment of bone, we also incorporate the pre-planning lines drawn by the clinicians prior to intervention. (requirement: C++ knowledge).
Supervisor:Lejing Wang, Dr. Pascal Fallavollita
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
X-ray Stitching Evaluation Based on DDRs: Towards Clinical Trial (DA/MA/BA)

After extensive preclinical testing finally CAMC has been moved into the Operation Room of Innenstadtklinikum at Nußbaumstraße. Many Patients were treated successfully with CAMC-navigation support (see CAMCInOR). The clinical investigation also includes X-ray image stitching. X-ray image stitching is a way to create panoramic X-ray images that have exceptionally wide fields of view. Panoramic X-ray images are very helpful for long bone fracture reduction surgery since they can show the whole bone structure with its entire mechanical axis, in a single image. There are many error sources in X-ray image stitching based on CAMC. Before the real clinical study, evaluating all factors to X-ray stitching is necessary. This can give an overview of potential error sources and their effects on X-ray stitching, which will be used as guidance for applying our X-ray stitching in real clinical cases. Moreover, the obtained results can give us the hints to improve the X-ray image stitching methods based on CAMC. For the evaluation, we simulate the C-arm motion based on the kinematic model of the CAMC system, and then generate artificial fluoroscopy from real X-ray CT data. Generated artificial fluoroscopy will be used for X-ray image stitching.
Supervisor:Lejing Wang
Director:Professor Nassir Navab
Student:
start-end: -
[[Students.MaHuelvesAlba][]] ()

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start-end: -
Image based tracking for medical augmented reality in orthodontic application (DA/MA/BA)

This Master Thesis suggests a low-cost Augmented Reality system, termed OrthodontAR?, for orthodontic applications and examines image-based tracking techniques specific to orthodontic use. The procedure addressed is guided bracket placement for orthodontic correction using dental braces. Related research has developed FEM simulations based on cone-beam CT reconstructions of teeth and bone. Such simulations could be used in the planning of optimal bracket placement and wire tension, such that patient teeth move in an optimal manner while minimizing rotation. The benefits would include reduced overall chair time due to fewer corrections and reduced likelihood of relapse due to reduced twisting. The system suggested in this thesis tackles the guided placement of brackets on the teeth, which is required to realize pre-procedure planning. Augmentation of a patient video with a newly placed bracket with its planned position would suffice. The surgeon could visually align planned and actual position in a video see-through head mounted display (HMD). To reduce technical complexity, the system shall be fully image guided. It shall rely on information from both CT and video images to track the patient's jaw. The goal of this thesis is to develop and evaluate image-based methods to overlay the CT of the patient with the video image. A prototype system shall be evaluated in terms of robustness and accuracy to determine if it meets practical requirements.
Supervisor:Wolfgang Wein Tobias Reichl
Director:Nassir Navab
Student:Andre Aichert
start-end: - 2011/12/15
System Architecture and Demonstration System for Robotic Natural Orifice Transluminal Endoscopic Surgery (DA/MA/BA)

This thesis presents the design and implementation of a Robotic NOTES (R-NOTES) system, with particular emphasis on gross positioning tasks using an industrial robot and Magnetic Anchoring and Guidance System, and internal positioning using an embedded device, wireless communication protocol, and human-computer interface. A R-NOTES system is intended to be a teleoperated system, where the surgeon will operate the system from a surgical console. This thesis includes a reference integration architecture for further exploration of the NOTES concept. Furthermore, integration of the system components, and the development of a wirelessly controlled robotic surgical tool, the MicroBot, are presented. The wireless control of the MicroBot uses the ZigBee protocol, which enables the robot to be self-contained without any external wires.
Supervisor:Kevin Cleary, PhD, Kevin Gary, PhD, Tobias Reichl, Ali Bigdelou
Director:Nassir Navab
Student:Risto Kojcev
start-end:2012/01/15 - 2012/07/18
Usage of Depth Camera xbox Kinect (Hiwi)

The Purpose of the project is to investigate the usage of Depth camera xbox “Kinect” to implement some gesture recognition in a Virtual Reality environment.
Supervisor:Amal Benzina
Director:Prof. Gudrun Klinker
Student:Hasan Elsherbiny
start-end: -
Visual Marker Based User Interface for the Operating Room (IDP)

In the last decades, many advanced computer-based navigation solutions, e.g. using external camera tracking for navigation and augmented reality visualization, and intra-operative visualization systems e.g. Camera Augmented Mobile C-arm (CamC), have been introduced and deployed in the operating room (OR) for surgical practice. However, very few computer-based systems have succeeded to become clinically accepted and even a small number of them were integrated into daily clinical routine. Interactions between surgeons and these advanced complex computer aided intervention (CAI) systems play an important role of successfully deploying systems in the OR. Traditional computer-user interaction hardware, e.g. mouse and keyboard, is very difficult and impractical to be used, since they are hardly sterilized. A cheaper and practical solution based on visual marker detection is proposed for the user interface of CAI systems. In this project, a visual marker based robust and friendly user interface must is designed and developed. The developed user interface is integrated into a CamC system and its functionalities are evaluated with the CamC system.
Supervisor:Lejing Wang, Dr. med. Simon Weidert
Director:Professor Nassir Navab
Student:Oleg Simin
start-end: -
Radiation-free drill guidance for Interlocking of Intramedullary Nails using video-augmented-X-ray (DA/MA/BA)

Supervisor:Lejing Wang,Pascal Fallavollita, Ph.D.
Director:Professor Nassir Navab
Student:Benoit Diotte
start-end: -
Smart-Phone Incremental Pose Tracking In Unregistered Environments (Master Thesis)

The topic for this thesis was developed as a complement to the rapidly evolving market in mobile computation and the potential for innovative means of user interaction. Ever increasing speed and efficiency within non-traditional computing platforms, such as smartphones, may lead to a of commoditization of processing power, such as has occurred with memory storage. In practice, this means not only the possibility for high computational load tasks, but for the use of not yet developed forms of user interaction. This creates a market need not yet adequately addressed by the current state of the art. We seek to address this need with the creation of an a priori method for tracking three dimensional motion on an isolated mobile device. There have been many useful and well implemented solutions for advancing the field of motion tracking on mobile devices. Three weakness common to many current methods addressed by the present proposal are the requirement for a marker to be present within the the camera’s field of vision, for the user to limit his range of motion, or for the user to perform some initial calibration steps. It is hoped that the algorithm developed herein will, in practice, build upon prior achievements and advance us another step toward creating a seamless user interface for mobile platforms.
Supervisor:M.Sc.-Inf Frieder Pankratz
Director:Prof. Gudrun Klinker, PhD.
Student:
start-end:15.03.2012 - 15.08.2012
User Distraction through Interaction with a Wall-sized Display (Master Thesis)

Wall-sized displays are conquering their place in the everyday applications in offices and command and control centers. They benefit from the capability to display more information and promote collaboration and exploration better than common single and double monitor setups. The development of suitable interaction techniques is lagging behind, because standards, e.g. mouse and keyboard for a desktop PC, are yet to be defined. With advancement in spatial recognition and reconstruction the research is shifting from simple pointing to spatial interaction. Researchers try to determine the best suitable interaction techniques for different tasks on such a screen. A technique must not only perform fast, but allow the user to perform tasks efficient by not requiring the user to focus completely and solely on the interaction. In this thesis we observe the applicability of different techniques for the drag and scale interaction on a huge display under the aspects of speed and attention requirements. We designed a test which allowed us to observe such application. Through a test series with ten participants we determined which techniques are best suited for this task. We discuss the emerging errors under the aspect of the repetition and missing and offer an explanation of possible causes of these.
Supervisor:M.Sc.-Inf Frieder Pankratz, Dr. Kiyoshi Kiyokawa
Director:Prof. Gudrun Klinker, PhD.
Student:Alexander Plopski
start-end:15.12.2011 - 14.05.2012
Development of a tool for reconstruction of CT images using Rebinning (Bachelor Thesis)

Supervisor:Peter Noel, Tobias Lasser
Director:Nassir Navab
Student:Felix Kopp
start-end:12/15/2011 - 04/15/2012
Gestyboard 2.0 (Master Thesis)

This theses is about continuing the implementation of a multitouch-keyboard (the Gestyboard) based on gestures which can be used with 10 fingers at the same time. A well-known problem in this field is the lack of haptic feedback. This is the reason why the performance of a virtual keyboard is much lower than the performance of a real keyboard. The goal of this thesis is to get to know if users are able to be as performant with the new innovative multitouch keyboard as with the real keyboard. Therefore, different alternatives of the same concept should be implemented and evaluated. There is already a concept defined but students are welcome to bring their your own ideas into the project.
Supervisor:Tayfur Coskun; Eva Artinger;
Director:Prof. Gudrun Klinker
Student:Christian Wiesner
start-end:2011/10/15 - 2012/03/15
Object and System Model Generation for X-ray Computed Tomography (Master Thesis)

Supervisor:Peter Noel, Tobias Lasser
Director:Nassir Navab
Student:Wangxin Liu
start-end:06/15/2011 - 03/15/2012
Counting data on a map on a multitouch table (DA/MA/BA)

Within the project SpeedUp (http://www.speedup-projekt.de/) we develop a map application for mass casualty incidents. On this map application the user should be able to count the data on the map in a very short time. The task of the thesis is to develop different variations for counting the data on the map. Finally the different implementations should be evaluated. TISCH, a multitouch table, which includes an ftir multitouch sensor and shadow tracking developed by Florian Echtler should be used as hardware. As development framework Microsoft Blend and C# should be used.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:Moritz Neugebauer
start-end:2011/08/01 -
Entwicklung eines Prozesses zur Kalibrierung von Datenhandschuhen in Virtual Environments (Master Thesis)

Do the Vulcanian's greet - we have two wireless data gloves, each equipped with 14 sensors that wait for a motivated student to be integrated in the project VirtualArabia.
Supervisor:Marcus Tönnis and Amal Benzina
Director:Gudrun Klinker
Student:Michael Förster
start-end:2011/09/15 - 2012/03/15
Point- and Linefeature based Bundle Adjustment for a Realtime-Trackingsystem (DA/MA/BA)

Die Bündelausgleichsrechnung ist eine Technik um die Genauigkeit von 3D-Rekonstruktionen zu verbessern. Sie kommt bei verschiedenen Problemstellungen zum Einsatz, unter anderem bei Trackingsystemen. Mit der Bündelausgleichsrechnung auf der Basis von Punktmerkmalen wurden bisher schon gute Ergebnisse erzielt. Durch die Berücksichtigung von Linien im Bild, die zusätzliche Informationen über eine Szene enthalten, soll die Qualität der Bündelausgleichsrechnung in einem Trackingsystem verbessert werden. Dadurch sollen sich neue Möglichkeiten und Anwendungsgebiete eröffnen.
Aufgabe dieser Arbeit ist es, Punkt- und Linienmerkmale in den einzelnen Bildern zu finden, Korrespondenzen zwischen den einzelnen Bildern herzustellen und diese Informationen dann in die 3D Rekonstruktion der Punkte, Linien und Kameras sowie deren Verfeinerung durch die Bündelausgleichsrechnung zu integrieren.
Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker(Ph.D.)
Student:Georg Barbieri
start-end:2011/08/15 - 2012/02/15
[[Students.DaKinectCADTracking][]] (DA/MA/BA)

Supervisor:
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start-end: -
Super Resolution Ultrasound (DA/MA/BA)

Ultrasound imaging systems are more accessible, mobile and inexpensive compared to other imaging techniques. Furthermore, its real-time image formation, low cost as well as non-invasive nature make it very attractive. However, due to the inherent process of ultrasound, generated images are view-dependent and subject to noise. In particular, the dominant noise, referred to as speckle, decreases the resolution of ultrasound image. Therefore it is typically quite difficult to directly use common image processing methods in ultrasound imagery. By recording a sequence of ultrasound images, however, an enhanced image can be generated. This is of particular interest in the domain of transcranial ultrasound (ultrasound images of the brain through the temporal lobe), where the quality of the images is bad due to the transmission through the skull bone.
Supervisor:Diana Mateus , Tassilo Klein
Director:Prof. Dr. Nassir Navab
Student:
start-end: -
Design of user evaluation of two travel metaphors in a VR environment. (Bachelor Thesis)

Design of user evaluation to be able to compare and evaluate the two implemented travel metaphors: Phone Based Motion Control Vs Steering and Driving. The two metaphors will be evaluated to each other quantitatively and qualitatively. To do that both metaphors should be integrated. An android phone has to be used for both metaphors (instead of tablet Pc in the second metaphor) and ART tracking has to be used in both metaphors (instead of orientation sensor in the first metaphor).
Supervisor:Amal Benzina
Director:Prof. Gudrun Klinker
Student:Anastas Tanushev
start-end:2012/01/15 -
Implementation and Evaluation of an innovative multitouch-keyboard based on gestures (Hiwi)

This theses is about implementing a multitouch-keyboard based on gestures which can be used with 10 fingers at the same time. A well-known problem in this field is the lack of haptic feedback. This is the reason why the performance of a virtual keyboard is much lower than the performance of a real keyboard. The goal of this thesis is to get to know if users are able to be as performant with the new innovative multitouch keyboard as with the real keyboard. Therefore, different alternatives of the same concept should be implemented and evaluated. There is already a concept defined but students are welcome to bring their your own ideas into the project.
Supervisor:Tayfur Coskun; Eva Artinger; Andreas Dippon
Director:Prof. Gudrun Klinker
Student:Lorenzo Piritano
start-end:2011/04/15 - 2011/10/15
The use of biplane C-arm systems for instantenous 3D flow estimation (DA/MA/BA)

Supervisor:Peter Maday, Markus Kowarschik (Siemens AG)
Director:Prof. Nassir Navab
Student:
start-end: -
3D Freehand Ultrasound Compounding for Ultrasound Doppler Angiography (DA/MA/BA)

Ultrasound navigation is a desirable technique for guided neurosurgery. Blood vessels are among the most important anatomic structures which the surgeon needs for orientation. In 3D Freehand Ultrasound, we are (already) able to make 3D scans by sweeping an optically tracked ultrasound probe and combining many 2D slices with their respective pose into a 3D volume. In order to correctly visualize blood vessels, we would like to investigate improved reconstruction (or compounding) of blood vessels which are visualized with Doppler ultrasound. The improved images can be greatly useful for the surgeon to see anatomy correctly and have improved spatial context himself in a 3D ultrasound scan.
Supervisor:Tassilo Klein, Ahmad Ahmadi
Director:Nassir Navab
Student:
start-end: -
Ultrasound Registration for Brain Shift Analysis Using a Cryo-Gel Phantom (DA/MA/BA)

Planning of a trajectory in neurosurgery (e.g. for biopsy or Deep Brain Stimulation, DBS) is a delicate task. Typically, a path is defined by analyzing a MRI image of the patient and setting an entry and a target point (in the case of a linear trajectory). The resulting linear path typically passes critical areas such as blood vessels or functional areas in very close proximity (e.g. <5mm). During surgery, after opening the skull and the protective dura mater of the brain, a pressure change and loss of cerebro-spinal fluid (CSF) can lead to a tissue shift of the brain – the so-called Brain Shift. Although this shift can be very small, e.g. 2mm in the deep brain areas, very little changes can deteriorate the reliability of the pre-operative plan significantly. In this thesis, we investigate how to use ultrasound for assessment and compensation of brain shift. </td>
Supervisor:Tassilo Klein, Ahmad Ahmadi
Director:Nassir Navab
Student:
start-end: -
C-arm Calibration (DA/MA/BA)

Supervisor:Lejing Wang,Pascal Fallavollita, Ph.D.
Director:Professor Nassir Navab
Student:Xin Chen
start-end: -
Bestimmung der Pose einer mobilen Kamera relativ zu Objekten aus einem georeferenzierten Umgebungsmodell (DA/MA/BA)

Im Rahmen der Bachelorarbeit wurde die Nutzung von georeferenzierten Gebäudedaten aus öffentlich zugänglichen Quellen zur Bestimmung der Position und Orientierung (Pose) einer mobilen Kamera im Freien untersucht. Anhand einer initialen Schätzung, unter Verwendung von Sensoren zur globalen Orts- und Orientierungsbestimmung, wurde unter Einbezug einer Datenquelle für räumliche Umgebungsmodelle die anfängliche Kamerapose optimiert. In einem weiteren Schritt wurde die Kamerapose unter Einbezug der verschieden Sensormodalitäten über die Zeit getrackt, um Anwendungen zu ermöglichen, die einen räumlichen Bezug zur Umgebung voraussetzen. Als Beispiel für die räumliche Datenquelle diente Google Earth, als Trägerplattform für die mobile Kamera kam ein, mit entsprechender Sensorik ausgestattetes, Fahrzeug zum Einsatz.
Supervisor:Christian Waechter (TUM) and Andreas Hildisch ( BMW CarIT )
Director:Prof. Gudrun Klinker(Ph.D.)
Student:Benedict Brück
start-end:2011/09/15 - 2011/04/15
Occlusion Handling for AR in Dynamic Camera Szenarios (DA/MA/BA)

Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker(Ph.D.)
Student:Lorenzo Pirritano
start-end:2010/08/15 - 2011/02/15
Fusion of Time-of-Flight Plane Features with Point Features for Camera-Pose Tracking (Master Thesis)

The objective of this master thesis is to estimate the pose change of a time of flight (TOF) camera between consecutive frames in all six degrees of freedom. To gain visual highresolution information of the scene, the TOF camera is combined with an RGB camera.
The proposed algorithm fuses 3D geometric and 2D visual features. Planar surfaces are extracted directly from the 3D point cloud while SURF is applied to the 2D projections of these surfaces. Feature positions and plane equations are both used to estimate all six degrees of freedom of the camera motion. The algorithm outperforms fast coarse pose registrations, that do not combine the 3D geometry with visual projections in accuracy while it is suitable for online processing. Fine registrations, that use the complete point cloud are more precise but also much more time consuming.
Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker (Ph.D.)
Student:Sebastian Marsch
start-end:2010/03/15 - 2011/09/15
Fast and Robust Background Subtraction (DA/MA/BA)

Background Subtraction is a commonly implemented procedure for higher level applications like People Tracking, Human Motion Estimation and Surveillance. As a rst and crucial part in moving object detection it provides a distinction between fore- and background objects in video data that was captured with a stationary camera. Despite the vast pool of methods that were published the last two decades, background subtraction remains a complex task and a gold standard algorithm has not been found yet. Varying lighting conditions, moving shadows and changing background geometry are only a few difficulties a good algorithm has to deal with. Last but not least many applications require real time capability with a reasonable video resolution. Pixel and color based methods like Gaussian Mixture Models are very popular but reach their limit in difficult lightning environments. Newer approaches overcome those limitations by including spatial and temporal features. The aim of this work was to implement and analyze an algorithm that meets the requirements of an indoor environment. The algorithm fuses therefore an adaptive Gaussian Mixture Model along with a texture analysis that uses Scale Invariant Local Ternary Patterns, to obtain an expressive feature space that is able to handle shadows and camou aged objects. Sudden illumination changes are detected by an additional post-processing step that is based on luminance histograms. To exploit the power of today's highly parallelized GPUs, the implementation was almost completely ported to the GPU using OpenCL? and allows to process full HD resolutions in real time. Finally, the system performance is comprehensively evaluated on relevant real and virtual generated indoor environment datasets.
Supervisor:Christian Waechter
Director:Prof. Gudrun Klinker (Ph.D.)
Student:Christoph Resch
start-end:2011/04/15 - 2011/11/15
A Framework for Evaluation of Time Measurement based Tracking Approaches (Diploma Thesis)

Supervisor:Manuel Huber
Director:Gudrun Klinker
Student:Stefan Machleidt
start-end: - 2010/07/15
Virtual Simulation of Multi-Camera Optical Tracking Systems (Master Thesis)

Marker-based optical tracking systems are widely used in realtime object tracking, augmented reality, computer-aided medical procedures and industrial applications. Thereby, the position and orientation (pose) of a marker is to be determined in real time. It consists of multiple fiducials that can easily be detected and tracked in the images of multiple cameras. However, in spite of the fact that there exists a number of time-proven technologies and methods of optical tracking, no attempts were made yet to thoroughly and exhaustively investigate the question of uncertainty of object tracking. The existing works on tracking accuracy estimation are mainly based on the idealized assumption of 2D uncertainties on the CCD of the cameras. They are based on purely analytical considerations and rely on linearization of the mathematical models for error propagation. Effects such as partial or full occlusion of individual fiducials by other fiducials or enviromental objects can not be considered by this technique. They have the major impact on tracking uncertainty, however their influence is poorly understood. This is a crucial issue for such safety-critical areas as medical procedures or industrial metrology, for example. Therefore the aim of this master thesis work is to develop (design, implement, test and produce) a framework to carry out the computer simulation of an arbitrary optical tracking system, that would enable us to make the exhaustive analysis of its tacking uncertainty and try out the new design decisions without actually building the technical prototype. The proposed simulation framework practically allows to test the arbitrary tracking algorithms without the need for additional analysis of the underlying functional models. The framework would allow parametrization of the concrete setup, perform the efficient simulation of operation of the tracking system (which involves virtual laboratory setup, generation of artificial camera images, motion recognition of fiducial positions and marker poses),and the technique of Monte-Carlo to investigate the propagation of errors; and finally provide the results that could be easily evaluated with the aid of existing tools of statistical data processing. The workflow implies the full lifecycle of development of software for scientific computing simulation, starting from modelling and software engineering design, efficient implementation and bridging to the existing tracking algorithms, and thorough testing and cross-validation versus the empiric measurements by the chosen IR multi-camera optical tracking system and the FARO high-precision mechanical measurement arm. The thesis will be concluded by the analysis and scientific visualization of the precision achieved with the proposed simulation framework.
Supervisor:Peter Keitler
Director:Gudrun Klinker, Nassir Navab
Student:Denis Bakarassov
start-end:2010/07/01 - 2010/11/30
Development of an Augmented Reality Application on the base of Ubitrack and a 3D Game Engine (Bachelor Thesis)

Modern game engines offer state-of-the-art graphics along with an easy to learn high-level user interface. In combination with Ubitrack, these engines might become powerful tools for the development of augmented reality applications. This thesis is about integrating Ubitrack in a 3D game engine and creating an example application. The example application is a game inspired by Farmville, where the user can plant and harvest crops in an augmented reality environment. For the visualization a Video-Seethrough-HMD is used and the tracking is realized using flat markers. Therefore, in order to connect the game engine with Ubitrack, the following tasks have to be completed: Showing the camera video, adjusting the virtual camera settings, and calculating the camera position. The last chapter contains a discussion of the results and possible improvements.
Supervisor:Björn Schwerdtfeger
Director:Gudrun Klinker
Student:Konrad Pustka
start-end:2010/04/01 - 2010/08/16
Design, Development and Evaluation of a Multimodal User Interface for Medical In-Situ Visualization (Diploma Thesis)

In-situ visualization of medical image data using a head mounted display allows the presentation of virtual objects within the Augmented Reality (AR) scene from the natural point of view. However, a major problem is to manipulate the visualization: parameters should be adjusted by the user to get the desired view of the region of interest. Also, for different stages in intraoperative navigational procedures, visualization of various instruments and navigational information has to be adjusted according to the needs of the operating surgeon. However, in operating rooms there is almost no room for classical interfaces like buttons, pedals, keyboards and mice. All tools close to the operation site have to be sterile and space around the operating table is reserved for surgical equipment. In my thesis, new concepts for interfaces to interact with the AR scene and to manipulate virtual objects are developed. The optimal user interface has to exploit the advantages of AR without hindering the user by too complex or space wasting tools, because they would drastically reduce the acceptance of AR in the operating room. As a result of this thesis, three input modalities based on hand detection, a foot pedal and voice recognition are implemented. A user study compares the three different interfaces, showing their strengths and weaknesses.
Supervisor:Christoph Bichlmeier, Stuart Holdstock
Director:Nassir Navab
Student:Samuel Kerschbaumer
start-end:2008/11/15 - 2009/05/15
Advanced Intra-operative Visualization In Neurosurgery (DA/MA/BA)

Abstract With the advance of imaging facilities and their broad availability in medicine it has become essential to combine data from multiple image modalities such as Computed Tomography (CT) or Magnet Resonance Imaging (MRI) data and recently ultrasound (US) into one view. Images are important both in pre-operative planning in intra-operative guidance and in post-operative evaluation and verification of the success. The most time-sensitive task is intra-operative guidance, as it does not allow for much input of the physician. Within the workflow of an intervention the right data has to be available at the right time. This work summarizes the possibilities offered to key hole surgery of the brain by today's advanced visualization techniques. With this application in mind a simple focus and context real-time volume renderer is implemented that tries to tackle some of the problems inherent to intra-operative use and discusses it's design. It has the aim of integrating CT and/or MRI with US in one focus and context view of the volume. To visualize the brain special methods to remove the cranial bone occluding the brain have to be used. A major issue is the integration of ultrasound into this multi-pass focus and context visualization. A complete pipeline is designed that can handle all of the above in a real time approach. As a proof-of-concept a straight forward volume renderer is implemented that supports the techniques presented in the thesis.
Supervisor:Oliver Kutter
Director:
Student:André Aichert
start-end: - 2008/10/15
Model-based Segmentation of Abdominal Aortic Stent Grafts in 2D and 3D Interventional Images (DA/MA/BA)

Automatic detection of the stent graft in interventional 2D and 3D image data is the essential basis to achieve these goals and, thus, constitutes the main concern of this diploma thesis. The use of model-based rigid and deformable registration techniques for stent graft extraction from medical images is evaluated along with the necessary preprocessing steps to find a proper initialization for the registration algorithm. The latter includes dominant local direction analysis using steerable filters as well as the use of distance maps to improve the registration results. The results are evaluated using synthetic test data and real patient data.
Supervisor:Stefanie Demirci, Max Baust
Director:Nassir Navab
Student:Markus Urban
start-end:2009/02/15 - 2009/08/15
GPU Ultrasound Simulation and Volume Reconstruction (Master Thesis)

Medical ultrasound imaging has been in clinical use for decades, however, acquisition and interpretation of ultrasound images still requires experience. For this reason, ultrasound simulation for training purposes is gaining importance. Additionally, simulated images can be used for the multimodal registration of Ultrasound and Computed Tomography (CT) images. The simulation process is a computationally demanding task. Thus, in this thesis a simulation method, accelerated by modern graphics hardware (GPU), is introduced. The accelerated simulation utilizes a ray-based simulation model in order to provide real-time high-throughput image simulation for training and registration purposes. Wave-based simulation methods are computationally even more demanding and have been considered unsuitable for real-time applications. In the scope of this thesis, wave-based models have been investigated, including the Digital Waveguide Mesh and the Finite-Difference Time-Domain method for solving Westervelt's equation. Initial results demonstrate the feasibility of performing near real-time wave-based ultrasound simulation using graphics hardware. Furthermore, a new algorithm is introduced for volumetric reconstruction of freehand (3D) ultrasound. The proposed algorithm intelligently divides the work between CPU and GPU for optimal performance. The results demonstrate superior performance and equivalent reconstruction quality compared to existing state of the art methods. GPU accelerated ultrasound simulation and freehand volume reconstruction are key components for fast 3D-3D (dense deformable) multimodal registration of Ultrasound and CT images, which is subject of current ongoing work.
Supervisor:Oliver Kutter Wolfgang Wein
Director:Nassir Navab
Student:Athanasios Karamalis
start-end:2008/08/15 - 2008/02/15
GPU Accelerated Deformable Registration (DA/MA/BA)

Deformable registration is one of the most challenging problems in medical imaging. The problem consists of recovering a local transformation that aligns two images that have a non-linear relationship which is often unknown. A recent presented method formulating the deformable registration in terms of solving a discrete labeling in a Markov Random Field formulation has shown to be very efficient. The main advantage of this method is the fast computation of the similarity measure in the image domain. The computation scheme approximates the local similarity of a potential deformation by weighted global translations of the image to be registered. Such a method is highly parallelizable. Within this project, the proposed scheme should be ported to a GPU implementation to reduce the computational time. Various similarity measures should be implemented on GPU and an extensive evaluation on synthethic and real medical data should be performed.
Supervisor:Main.BenGlocker OliverKutter
Director:Main.NassirNavab
Student:Philipp Stefan
start-end:2009/12/15 - 2009/08/15
Image Segmentation for Occupancy Map Reconstruction (Master Thesis)

This work is part of the Collision Avoidance project, a project with Siemens Medical Solutions - Germany. When having a fully automated medical device in an operating room, the control of the device takes the patient's position into account and not the rest of the environment, i.e. surgical staff and additional equipment. This project aims to detect and prevent collisions between the medical device and its dynamic environment. The collision avoidance is done thanks to an equipment of 16 cameras mounted on the ceiling of the interventional room. The combination of different views of the scene makes it possible to compute the probability of occupancy in each unit of space of the room in the neighborhood of the device. In order to get a static (low-resolution) occupancy map, the images acquired are processed to obtain silhouette images. Then, each voxel is projected onto the 16 images and its occupancy is tested. To do that, we need a robust segmentation. The more precise is the segmentation, the faster is the algorithm. The students works on the segmentation part. The internship is divided into two main objectives: - First, he will implement a standard segmentation algorithm, where each camera is considered independently. The segmentation should be fast and robust to illumination changes and background clutter. - Second, he will design a more enhanced way to segment the images: the segmentation should take into account the fact that the images are the projection of the same scene; therefore, it should be consistent with the intrinsic and the extrinsic parameters of the set of the 16 cameras.
Supervisor:Selim Benhimane Alexander Ladikos
Director:Nassir Navab
Student:Nuno Barreiro?
start-end:2007/04/16 - 2007/10/07
Optimization of image reconstruction and analysis workflows for cardiac Positron Emission Tomography integrating multidimensional physiological gating (DA/MA/BA)

Supervisor:Dr. Stephan Nekolla,
Director:Nassir Navab
Student:Brian Jensen
start-end:2009/11/1 - 2010/05/31
Android Selection and Zooming metaphor in a VR environment (Bachelor Thesis)

The Purpose of the project is to Use the built-in sensors of an Android phone (Accelerometer, Compass) for selection task in Virtual Reality Environment. Also to use the Android phone touch capability for zooming in VR tasks. This is work is going to be a part of an ongoing project; Android phone has been already used for travel task using the built in sensors and the multi-touch capability of the phone.
Supervisor:Amal Benzina
Director:Prof. Gudrun Klinker
Student:Yanko Sabev
start-end:2011/06/15 - 2011/11/15
Investigating Viewpoint Control Metaphors for hand-held devices in Virtual Environments (Bachelor Thesis)

Designing interfaces for 3D VR environment navigation is a complex undertaking. Trying to give the user more freedom in his interactions and an immersive experience most novel interfaces rely on spatial input utilizing tracking systems. To keep the system intuitive and immediately understandable they usually rely on movement metaphors relating to known skills or concepts and familiar motions already practiced like using a steering wheel while driving. This work examines an interface using two metaphors and the problems occuring when allowing to make use of both at the same time. The concept examined here uses a hand-held tablet (Samsung Galaxy Tab) held sideways. Prior to this work, two metaphors have already been established and tested. The first is the car's steering wheel metaphor while the second is analogous to an airplane leaning into a turn. Depending on the way the device is held the car metaphor is expected to be dominant in the upright position. Airplane should correlate more with a flat holding position. Tests have shown this to be mostly true. They also showed that a seamless transitioning parallel use of both metaphors for all holding positions is desirable. This however lead to problems with the airplane metaphor. Airplane relies on the degree of turning the device around its local axis parallel to the tablet's screen pointing forward when held flat before the user. Holding it upright, turning around the same axis shows an inverted metaphorical refference for turning. Left turns in the flat position become right turns in the upright position. The aim is to find a third metaphor ("window frame") accounting for the previously confusing functionality of the airplane metaphor and integrate it in an equally seamless manner with the existing two.
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Sandro Weber
start-end:2011/06/15 - 2011/10/15
An introduction to OR-Use, a systematic usability data acquisition framework for the operating theatre (Bachelor Thesis)

Due to the rapid technical development in recent years, studying the usability of a system has become increasingly popular. Usability is seen as a crucial factor for the success of many systems and products. In a complex domain, like the operating room (OR), creating systems with high usability is even more important, as deficiencies in the design can have catastrophic effects. Due to the complexity of medical devices and the associated environment, it is very challenging to gather usability data. Furthermore, there is a deep desire on storing and managing this information to evaluate and though improve the usage of the devices.
In order to manage and evaluate the usability of medical devices, we propose a framework architecture for intra-operative usability data management, which is based on an OR specific domain model. Therefore, our framework provides to record usability logs with respect to the workflows of a surgical intervention. To store the accumulated data, a client server based web service is used to transmit the data to a central location, where further analysis can be applied. In order to document the feasibility and benefits of our system, several performance test are accomplished using a novel imaging device in combination with the proposed framework architecture.
Supervisor:Asli Okur and Ali Bigdelou
Director:Nassir Navab
Student:Max-Emanuel Hoffmann
start-end:2011/06/15 - 2011/11/15
Bachelorthesis: Implementation of a SVG-GUI-Builder in the Context of the SpeedUp-Project (Bachelor Thesis)

In the context of the Speed-Up project a user-interface is needed which fullfils the requirements of handling a major incident involving mass-casualties. The goal of this project is to develop a program aiding a GUI-programmer in the process of implementing such an Interface. The general idea is to extract the given information about control elements provided by a GUI-designer in form of a svg-file and to create a GUI-predesign based on that information. The GUI-programmer then only needs to implement the actual functionality of each predefined control element. The GUI-design and the GUI-programming will be separated strictly thus enabling the generation of multiple different designs with the same functionality. Using this approach a GUI-designer will also be able to create and edit the needed GUI-designs without any programming skills.
Supervisor:Tayfur Coskun
Director:Prof. Gudrun Klinker
Student:Kang-Hunn Lee
start-end:2010/01/15 -
Visualization of 4D Breathing Motion from Medical Datasets (Bachelor Thesis)

Through new improvements in medical imaging, it is possible to record multiple three dimensional volumes over time, capturing the organ motion. To be useful for the medical staff these volumes need to be displayed in some way. This bachelor’s thesis first introduces the basics of volume rendering, especially the principle of raycasting, to generate 3-dimensional images from medical data sets. The main focus lies on visualizations that enhance the viewer’s perception of movements inside the volume. Five different visualization techniques are presented which are all designed for an interactive usage and an optimal interplay with the volume renderer. In order to reach an interactive performance, all methods rely on hardware acceleration through a GPU.
Supervisor:Athanasios Karamalis
Director:Nassir Navab
Student:Markus Müller
start-end:2010/07/15 - 2010/11/15
Integration of Markerless Tracking with Global Reference Frames (Bachelor Thesis)

The project is meant to introducing feature-based tracking to the real-world in terms of scale and orientation (7 D.O.F). The problem is that feature-based tracking provides only 6DOF and the scale, however the scale is not reliable because feature-based tracking coordinate system depends on the features it is initialized with, therefore the origin of the system differs from one initialization to another, on the other side, marker tracking is relatively reliable and accurate, however there are some industrial situations where using markers is not suitable, moreover the dependency on the presence of markers acts as a barrier towards using tracking in our daily life. The approach of solving this problem is using reference pose frames from an accurate tracking system (Marker Tracking, Advanced Real-time Tracking - A.R.T, etc.) to register the feature map of feature-based tracking in the world. Finally, this hybrid tracking system is supposed to provide both the independence of feature-based tracking and the accuracy of the other tracking system, which provides reliable, robust and powerful tracking system.
Supervisor:Peter Keitler
Director:Gudrun Klinker
Student:Mahmoud Bahaa
start-end:2010/05/01 - 2010/08/31
Implementation of a virtual practice tutor for music learners (DA/MA/BA)

This thesis is in cooperation with a psychology student of LMU Munich. The project results in an evaluation of the pedagogical concept and its prototypical technical implementation. This evaluation is scheduled for May 2011; until then the Prototype should be ready for tryout on actual learners. The type of platform can be freely chosen, the student can use Android, Java, C#, web-2.0 or else according to his or her preferences.
Supervisor:Tayfur Coskun
Director:Prof. Gudrun Klinker
Student:Siehe Unterprojekte
start-end:2011/04/15 - 2011/10/15
Level Sets for Symbolic Reconstruction (Diploma Thesis)

One of the more sophisticated segmentation methods is called "Level Set Method". It provides the programmer with a lot of options to define his segmentation goals. The segmentation is achieved by adjusting region boundaries. These adjustments are driven by user-defined forces. All this leads to partial differential equations which, in the end, have to be solved using finite differences.
The IDP consists of implementing numerical solvers for PDEs arising from Level Set Methods. The PDEs are discretized using finite differences and solved with usual schemes thereafter. The only difference to usual solvers is that so-called "Narrow Band Methods" can be applied which operate on a local band around border pixels only, thereby reducing the workload dramatically.
The IDP starts with an evaluation of existing narrow band implementations. Some selected methods will then be implemented by programming a new solver. Finally, the implementation has to be evaluated and tested extensively.
The student should seek an IDP in mathematics and have some knowledge about the numerical solution of PDEs. This knowledge can be gained by attending the math lectures on Numerical Mathematics of PDEs (usually called "Numerik 4" at TUM) or sth. comparable. Knowledge about the theory of PDEs is not required.
Supervisor:Andreas Keil
Director:Nassir Navab
Student:Jakob Vogel
start-end:2009/01/15 - 2009/09/30
Augmented Reality Projektor-Kamera System (Diploma Thesis)

Supervisor:Main.BjoernSchwerdtfeger
Director:Main.GudrunKlinker
Student:Adnane Jadid
start-end:2011/02/15 - 2011/10/15
Artifact Reduction in Digital Breast Tomosynthesis Reconstruction (Master Thesis)

Supervisor:Anna Jerebko, Tobias Lasser
Director:Nassir Navab
Student:Shiras Abdurahman
start-end:2011/05/01 - 2011/11/15
Gesture Recognition in a VR environment - Kinect (Bachelor Thesis)

The Purpose of the project is to investigate the usage of Depth camera xbox “Kinect” to implement some gesture recognition in a Virtual Reality environment. The gestures are analyzed to perform 3D Menu selection task and Parameter adjustments in a dynamic simulation in VR. For this purpose Particle tracer software is used. Two parameters (Reynolds values , Viscosity) are to be adjusted through gesture recognition.
Supervisor:AmalBenzina
Director:Prof. Gudrun Klinker
Student:Tilman Eberspächerr
start-end:2011/04/15 - 2011/08/15
Tracking Error Evaluation and Propagation With Hybrid Tracking System (DA/MA/BA)

Both IR-optical tracking (OT) and electromagnetic tracking (EMT) are clinically established technologies for real-time tracking of imaging devices, instruments, and other objects. Hybrid magneto-optic tracking systems overcome the individual disadvantages of both technologies, at the price of additional calibration steps, which may introduce further errors. For optical tracking systems there exist methods to estimate the current tracking error, but for electromagnetic tracking systems is is hard to detected error or even correct them, in particular with dynamic sources of error. Several electromagnetic tracking systems are to be comparatively evaluated. Approaches for combination into hybrid magneto-optical tracking systems need to be selected, and the accumulation and propagation of errors from data acquisition over different calibration methods needs to be considered. Possible approaches for improvement of tracking and calibration accuracy should be pointed out. If you are interested or if you have questions, please contact Tobias Reichl.
Supervisor:Tobias Reichl
Director:Nassir Navab
Student:
start-end: -
BA/MA/DA 3D Particle System on a Multitouch Table (DA/MA/BA)

A Particle System for Interactive Visualization of 3D Flows developed by the chair for computer graphics and visualization should be integrated on a multitouch table.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:Waltraud Sichart
start-end: -
3D Interaction Methods for Medical Applications using Low-Cost Hardware (DA/MA/BA)

Supervisor:Tobias Blum
Director:Nassir Navab
Student:Korbinian Schwinger
start-end: -
Stereo Vision with Conical and Circular Features (DA/MA/BA)

The topic of this master thesis is stereo vision with conical (elliptical) and circular features. Stereo vision is a major subject in the scientific field of computer vision. The main task in stereo vision is the 3D reconstruction of a scene given images of the scene taken by two cameras. But first, the geometrical relations between both cameras, represented by the so called epipolar geometry, need to be found. The traditional algorithms that estimate the epipolar geometry between two images are based on point image features. Ellipses and circles as image features have certain advantages compared to point features: they can be extracted more easily and with higher accuracy from the image, even when they are partially occluded, and they can be identified more easily in multiple images. Such features can be found in many man-made objects, even if point features are completely missing. It is theoretically proven that four conical features in general position are enough for estimation of the epipolar geometry, but, unfortunately, not in a linear manner. Innovative ideas for handling linearly this estimation problem for certain specific cases are developed in this thesis. We propose an algorithm, which finds groups of ellipses that lie on one and the same plane in space. Based on the results of this algorithm, we develop linear methods for estimating the epipolar geometry. We show that the minimal configuration of three ellipses suffices, given that two of the ellipses lie on one plane. Furthermore, we show that the epipolar geometry can be computed from two circles on one plane. For this we deploy selfcalibration methods, which were not used in combination with binocular stereo vision so far. In the case when the cameras are known ( i.e. their parameters like focal length and relative position) we show that two coplanar ellipses or two circles in general position are also sufficient.
Supervisor:Nassir Navab, Stefan Rahmann
Director:Nassir Navab
Student:Veselin Dikov
start-end: -
Detection and 3D Recovery of Stent Grafts in 2D Xray Sequences (DA/MA/BA)

In the current clinical workflow of endovascular abdominal aortic repairs (EVAR) a stent graft is inserted via an introducer system through one femoral artery into the aneurysmatic aorta under 2D angiographic imaging. Due to the missing depth information in the X-ray visualization, it is highly difficult in particular for junior physicians to place the stent graft in the preoperatively defined position within the aorta. Therefore, methods for accurate stent graft recognition or segmentation in fluoroscopy images are highly required.
Supervisor:Stefanie Demirci, Ali Bigdelou
Director:Prof. Dr. Nassir Navab
Student:Radhika Tibrewal
start-end: -
Development and implementation of 3D parallelized series expansion methods for differential phase contrast tomography (Master Thesis)

Advances in imaging hardware have enabled differential phase contrast tomography with conventional X-ray tube sources. So far, iterative series expansion methods have been applied in a weighted maximum likelihood framework to reconstruct absorption and phase contrast data jointly in 2D slices. However, the available hardware easily generates fully 3D cone-beam data sets with full projections. The expansion of this reconstruction approach to full 3D poses challenges both in terms of memory and computational power. This thesis project comprises the development and implementation of parallelized (multi- core) or massively parallelized (GPU) variants of the fully 3D reconstruction pipeline, including generation of the system equation and the implementation of several standard iterative solvers.
Supervisor:Guillaume Potdevin, Dieter Hahn and Tobias Lasser
Director:Franz Pfeiffer and Nassir Navab
Student:
start-end:2011/08/01 -
Development of Android touch interface for navigation in an immersive environment such as CAVE (DA/MA/BA)

The navigation technique in this work is: Walking In Place using touch: The basic idea of this navigation technique is simulating a locomotion technique using the fingers on the touch handheld device in this case Android phone. In this Bachelor thesis the first part is to implement the 2D translation part. Using Android SDK, the translation gesture of the user on the android device is detected and the translation value, speed of translation and angle of translation is calculated.
Supervisor:Amal Benzina
Director:Prof. Gudrun Klinker
Student:Ashry Mohamed
start-end:2010/04/20 -
Improving Depth Perception for Video-Based, Intraoperative Augmented Reality Systems. (Master Thesis)

Augmented reality (AR) is still a relatively young field of research. It concerns the extension of the view on a real scene with virtual objects. Virtual objects can be placed at 3D coordinates respective to the real world. This fact is highly attractive since almost any data from measuring devices can be represented in the real world. This gives the possibility of applying AR to a big set of applications in automobile, media, civil, military and medical industries. For this reason it is a highly interdisciplinary field combining a variety of subjects starting from math and ending with psychology. Medical AR is the target application of this master thesis. This branch of augmented reality gets closer and closer to real life applications with time, giving a possibility to help in different ways during various types of surgeries. It also brings probable ways of performing those surgeries, which were not doable before. Best and newest mathematical methods and algorithms are used for calculations of relations between real scene, video devices and virtual objects. But there still exists a serious bottleneck - the correct and correctly perceivable visualization. In cases of industrial or mechanical AR it might cause serious problems. Misleading visualization in Medical AR, being used for intra-operative guidance, is life-threatening. Medical AR in most cases has to show internal body structure i.e the virtual representation of anatomy from different data sources. Here the keyword is - “internal”. Different instances of medical imaging such as readings of measuring devices such as magnetic resonance (MR) scanner, computer tomography (CT), data received from a Gamma Probe are sources of this virtual information. But this information is not always intra-operatively available, and in case of availability - data sets are usually small in volume. For example in the case of vertebroplasty, which is a minimally invasive spine surgery, a CT scan of small spine segment covering 3 vertebrae is taken. Newest techniques of volume rendering allow to improve the perception of depth. In addition to the fact that they work mostly for big datasets, latter are still visually superimposed over the real body, although all spatial relations and positions are correct. In the case of small datasets even these techniques are not useful at all, since the simpler and the smaller the dataset the less depth cues can be created with the rendering algorithm. Thus new ways of depth perception improvement should be invented, old ones combined and all this ensemble should be applied to a maximum extent, getting closer to human everyday’s life perception. This task leads deeply to science of human perception in general and to depth perception in particular. The current master thesis discusses all possible depth cues and the extent to which they can be used in Medical AR to improve perception of depth. Reasons of other depth cues not being useful are also mentioned. Master thesis also describes a novel method of combining certain cues and gives examples of how this combination can be applied in cases of availability of different input data from a real scene. This new approach is compared to those, which were used previously. Results from a user study are analyzed regarding the enhancement of an intuitive depth perception.
Supervisor:Christoph Bichlmeier, Stuart Holdstock
Director:Nassir Navab
Student:Maxim Kipot
start-end: -
Simultaneous Deformation of Medical Images (DA/MA/BA)

The registration – spatial alignment – of images is of great interest for medical image processing and general computer vision tasks. Often, not just the registration of two images, but the registration of multiple images is needed. An example is the creation of a medical brain atlas, for which a number of brain volumes have to be aligned. Since the human brains vary significantly, a deformable registration or warping between the images is necessary to correctly align the images. In the scope of this thesis, we will implement an algorithm for simultaneous deformable registration.
Supervisor:Christian Wachinger
Director:Nassir Navab
Student:Mehmet Yigitsoy
start-end: -
Methoden und Metaphern zur Navigation in virtuellen Landkarten (DA/MA/BA)

In den letzten Jahren konnten sich elektronische Landkarten vor allem wegen ihres praktischen Nutzens immer weiter verbreiten und durchsetzen. Von der einfachen zweidimensionalen Kartenapplikation bis hin zur virtuell komplett nachgebauten Erde gibt es verschiedene Ansätze für die Interaktion mit virtuellen Landkarten. Navigation ist ein wichtiger Faktor zur Orientierung in virtuellen Welten. Anders als in der Realität können wir uns hier ohne den Einfluss von Naturgesetzen bewegen und uns jederzeit an jeden Ort bringen lassen. Elektronische Landkarten bieten viel mehr Freiheitsgrade als ihre klassischen Pendants, aber bisher gibt es kaum Erkenntnisse wie diese Freiheitsgrade dem Benutzer intuitiv zugänglich gemacht werden können. Die in dieser Arbeit entwickelte Steuerung ist eine komplexe Flugsteuerung, die versucht den Benutzer durch den Einsatz bekannter Steuerungselemente zu unterstützen. Hierfür wurde besonders die Metaphern ''Lenkrad``- und ''Flugzeug``- Steuerung untersucht. Der Benutzer hält mit seinem Eingabegerät ein virtuelles Lenkrad, respektive ein Flugzeug in der Hand und steuert. In einer Benutzerstudie wurde untersucht wie weit sich die beiden Metaphern gleichzeitig in einem Eingabegerät kombinieren lassen. Ob Anwender intuitiv eine der beiden Metaphern bevorzugen, und welchen Einfluß die Neigung des Eingabegerätes auf die Wahl der Metapher hat war einer der Hauptfaktoren, die untersucht wurden.
Supervisor:Marcus Tönnis, Amal Benzina
Director:Gudrun Klinker
Student:Nick Heuser
start-end:2009/12/15 - 2010/05/15
Controlling 3D objects by using a multitouch surface with gesture recognition (Bachelor Thesis)

This thesis is about using a mulititouch surface to control 3D-objects using the example of a Chemistry program. There are two systems which already exist. The TISCH libraries in case of the multitouch surface and the Ubitrack libraries for the manipulation of 3D objects. Ubitrack contains certain drivers for different devices, which can be used to control 3D objects. So the task of this thesis is to write such a driver for the TISCH. The main challenges of this thesis are to find a way to link both libraries by using the existing tools and additional libraries, to identify the possibilities of interaction between both systems, to map the different gestures, which you can make on a multitouch surface, to rotations, movement and other actions on 3D-objects and finally to make sure that the driver works in the same way the Ubitrack users are familiar with.
Supervisor:PatrickMaier
Director:Gudrun Klinker
Student:Franziskus Karsunke
start-end:2009/03/15 - 2009/06/30
[[Students.BaMathiasGorf][]] (DA/MA/BA)

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start-end: -
[[Students.BaUWAR][]] (DA/MA/BA)

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start-end: -
Implicit Guidance to Poses in Augmented Reality (Diploma Thesis)

Developing a guidance system for a see-through stereo-view head mounted display. The system should guide to a position and a pose. A pose is specified through the orientation and the facing of the user. The System projects a path from the user's position to the target into the reality. By following this path the user is implicit lead to a specific pose without any extra effort.
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Martin Birkmeier
start-end:2010/08/15 - 2011/02/15
Automated Segmentation of Sentinel Lymph Nodes from Freehand SPECT Images of Breast Cancer Patients (Diploma Thesis)

Freehand SPECT is a 3D imaging modality for emission tomography based on data acquisition with a tracked gamma probe that is moved around a localized region in freehand fashion, in contrast to conventional SPECT systems with fixed gamma cameras. After validation in pre-operative studies, first intra-operative studies have commenced. In this thesis an automatic 3D segmentation algorithm for Freehand SPECT reconstructions is developed. The segmented regions are then investigated using an iterative leveling algorithm to find topology changes in various threshold intervals. These algorithms are used to analyze real patient data to find relations between regions using information about size, activity and distances. For an easier evaluation, a graphical user interface is designed and further improvements are applied. A reproducibility test is done using 33 acquisitions of the same phantom to validate the segmentation and to evaluate the distance measurement between regions. Furthermore, a patient data analysis is done with a set of 25 acquisitions. The deficiencies of the automatic approach are identified and further improvement options are suggested so that the program can estimate optimal threshold values for visualization (semi-) automatically.
Supervisor:Tobias Lasser and Thomas Wendler
Director:Nassir Navab
Student:Asli Okur
start-end:2010/03/15 - 2010/09/15
Mixed Reality Games and Special Effects (DA/MA/BA)

The goal of this thesis is the creation of interactive mixed reality games and special effects using a multi-camera system. The system provides the 3D reconstruction of objects inside a working area and can be used to compose virtual objects and real objects in a mixed reality environment. This allows the user to interact with virtual objects and to create composite videos combining both real and virtual objects while correctly handling occlusions. Your task would be the design and the implementation of interactive games making use of this infrastructure as well as the creation of a short movie showcasing the system. This project requires good knowledge in C++. Previous experience with a 3D modeling software, e.g. Maya or 3D Studio Max, as well as a certain creativity and artistic sense would be advantageous.
Supervisor:Alexander Ladikos
Director:Nassir Navab
Student:
start-end: -
Interactive Tomographic Reconstruction for Freehand SPECT using the GPU (Diploma Thesis)

In modern medical practice, tomographic reconstructions offer a remarkable diagnostic tool. It started as a complement to already existing imaging techniques (like X-ray imaging) but soon spawned practices and therapies for which it has become invaluable.In this work we adapt existing algorithms used in emission tomography for many-core GPU architectures.
Supervisor:Tobias Lasser
Director:Nassir Navab
Student:Alexandru Duliu
start-end:2009/04/15 - 2009/10/15
Bachelorarbeit: Bedienung einer 3d Applikation durch einen Wii Controller (DA/MA/BA)

Eine 3d Visualisierung soll mit Hilfe einer Wii Fernbedienung intuitiv gesteuert werden. Als 3d Visualisierungssoftware könnte das Partikel System des Lehrstuhls Computergraphic verwendet werden.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:
start-end: -
Interaction Concept for a Medical Augmented Reality System (DA/MA/BA)

Supervisor:Tobias Blum
Director:Nassir Navab
Student:
start-end: -
Statistics on AR Design Principles (Diploma Thesis)

Es werden die Anzeigeprinzipien von AR-Anwendungen in sechs verschiedene Dimensionen unterteilt; Kriterien sind hierbei hauptsächlich der Bezug des virtuellen Objekts zur realen Welt und zum Benutzer. Jede Dimension bietet mehrere Möglichkeiten der Unterteilung, wodurch eine Vielzahl an unterschiedlichen Klassifizierungsmustern entsteht. Unter Zuhilfenahme dieser Definitionen werden Arbeiten, die in den letzten Jahren veröffentlicht wurden, untersucht und auf ihre Muster überprüft. Mögliche, aber dabei nicht gefundene, Kombination werden daraufhin auf ihre reale Umsetzbarkeit bewertet. Diese Arbeit schließt mit einem Ausblick auf eine weiterführende Vertiefung dieses Themas.
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:David Plecher
start-end:2010/08/15 - 2011/03/14
Visualization of activity parameters with an avatar suitable for the elderly people (DA/MA/BA)

The demographic trend of today's society and the associated problems leads to big challenges for everyone. The aim of the research project Fit4Age founded by the Bayerischen Forschungsstiftung is, to allow elderly persons to take part in the social live for a longer time than nowadays. The exploratory focus of this subproject is to maintain and to increase the physical fitness of senior citizens. In this context plays the self-motivation in order to stay physical active a crucial role. Interactive training techniques can help to add playful elements to the physical training and make it substantially more attractive in the long run. One possibility to achieve that aim is the coupling of specially designed computer games for motivation and efficiency control with sensors of acquisition of motion data. Within the scope of this thesis a system is developed, which is specially designed for use of elderly people. Its purpose is to animate them for more physical activity using the Tamagotchi concept. It guides the users at the same time. The estimation of the training will be based on a specially prepared training schedule. In this context prototypes will be developed and evaluated to obtain their user acceptance. Furthermore the evaluation should help to find out which type of virtual character should be used. In addition the answer to the question how the user-interface should be designed on a mobile system to be simple and intuitive for the user will be searched. For this purpose different alternatives of pawns and menu navigations get compared. For every single type of the three presented pawns one instance will be chosen and a 3D shape of it will be created and animated to get integrated in the prototypes.
Supervisor:Daniel Pustka, Hans Egermeier (xmedio), Oliver Hengstenberg (xmedio)
Director:Gudrun Klinker
Student:Tayfur Coskun
start-end: -
Quantification of Deformation in Navigated Bronchoscopy (DA/MA/BA)

In navigated bronchoscopy one particular challenge is the deformation of the lung during patient movement, breathing and coughing. By combining available data from CT/virtual bronchoscopy, the video stream from the bronchoscope and electromagnetic tracking, the deformation of the lung should be quantified. For the part of the lung which is reachable with bronchoscope, a patient-specific map of deformation due to respiratory motion should be generated. Methods for compensation of this respiration motion should be evaluated. Working knowledge of C++ required. Knowledge of OpenGL and Qt is of advantage. This project is going to be located at the IFL lab and will be done in close collaboration with the Pneumology department of the Kinikum rechts der Isar. Depending on progress of the project, clinical trials e.g. for compensation methods might be possible. If you have questions please contact Tobias Reichl.
Supervisor:Tobias Reichl
Director:Nassir Navab
Student:
start-end: -
Bachelorarbeit: Entwicklung einer Applikation auf einem Multi-touch Tisch zur Überblickslage in Großschadensereignissen (Bachelor Thesis)

Im Rahmen des Forschungsprojektes SpeedUp ist eine Applikation und ein User-Interface zu entwickeln, das von mehrere Benutzern gemeinsam verwendet wird um sich einen Überblick über ein Großschadensereignis zu machen und dieses managen zu können. Vorranging wird es sich dabei um eine Karte handeln mit der mehrere Benutzer intuitiv interagieren können. Auch die Kommunikation mit den Einsatzleitern vor Ort (Tablet PC) soll ermöglicht werden.
Supervisor:Eva Artinger, Simon Nestler
Director:Gudrun Klinker
Student:Martin Schanzenbach
start-end:2010/02/15 - 2010/06/15
Development of a Single Touch User Interface for the Efficient and Intuitive Completion of Forms in the Area of Emergency Rescue Services (Bachelor Thesis)

Some of the data that is collected within the logging of emergency rescue services is needed in digital form for billing and statistical purposes. Up to now the data is usually collected by pen and paper and subsequently typed up; yet there are some attempts of initial digital recording with the aid of digital pens or with tablet pcs using the stylus and handwriting recognition which aim to eliminate the need of double recording. In my thesis I will present another approach of collecting the data directly on a tablet pc. Operation using only the left and right thumb is a special requirement in the context of the project. The thesis focuses on possible text entry techniques which meet this requirement and examines these with regard to text entry speed, error rate and learnability.
Supervisor:Tayfur Coskun; Simon Nestler
Director:Gudrun Klinker
Student:Daniela Korhammer
start-end:2010/05/15 - 2010/10/10
Bachelor- Master-/Diplomarbeit: Entwicklung eines User-Interfaces auf einem Tablet-PC zur Unterstützung von Einsatzkräften (Rettungsdienst) in Großschadensereignissen (DA/MA/BA)

Im Rahmen des Forschungsprojektes SpeedUp ist ein User-Interface zu entwickeln, welches u.a. die besonderen Anforderungen von sogenannten Großschadensereignissen erfüllt. Als Plattform soll ein Tablet-PC verwendet werden, dass mit beiden Händen gehalten und gleichzeitig vollständig bedient werden soll. Es sind entsprechend Lösungen auszuarbeiten, die es dem Benutzer ermöglichen, die Software vom Rand des Tablet-PCs aus intuitiv und effizient zu bedienen.
Supervisor:Tayfur Coskun
Director:Gudrun Klinker
Student:
start-end: -
Vision-based Tracking of Multiple Persons in an Emergency Room (DA/MA/BA)

The Institute for Emergency Medicine and Management in Medicine (INM) offers facilities to perform professional trainings for emergency personnel. A fully equipped emergency room allows to simulate various critical situations and to record the performance of emergency personnel by means of multiple, synchronized modalities, such as digital patient data streams, video cameras, and microphones. The goal of this Master's Thesis is to implement a vision-based tracking system that allows to follow the position of multiple persons within a room. The desired output is 2D-positional information for each person with respect to the room coordinate frame that can be visual-ized in the existing interactive virtual floor plan. Video cameras as present at the INM are to be used as an input.
Supervisor:Diana Mateus, Loren Schwarz
Director:Prof. Nassir Navab, Dr. Marc Lazarovici
Student:
start-end: -
Billiard Ball Tracking (Bachelor Thesis)

In collaboration with the Munich startup company Master-Q a tracking system should be developed that tracks the position of billiard balls in a precise way. This tracking is essential for positioning the billiard cue of the automatic billiard machine developed by Master-Q. Since a most precise position of the balls is requiered for the billiard machine to work, the highest possible accuracy is the major goal of this thesis. Additionally the positions of the balls must be assigned to the corresponding balls on the table.
Supervisor:Christian Waechter
Director:Gudrun Klinker
Student:Manuel Wolf
start-end:2009/08/15 - 2009/12/15
Non Invasive Histology of Atherosclerotic Plaque (DA/MA/BA)

Supervisor:Olivier Pauly
Director:Nassir Navab
Student:
start-end: -
Optimized Workflow for Integration of Pre-operative Images into a Intra-operative Imaging Application (Diploma Thesis)

Mobile imaging applications have become a common appliance in hospitals all around the world. Furthermore server based storage systems, so called Picture Archiving and Communication Systems (PACS), for images generated during clinial work are widley used. But nevertheless the connection between those two parts is often missing. Either is it often impossible to view previously created images during a procedure on a mobile device nor is there seldom a convinient way to archive the images generated on this device. The goal of this thesis is the comparative examination of different possible workflows to transfer existing images to such a mobile imaging device and the implementation of one of those. First step during this process is the retrieval of a so called worklist entry containing the basic information about the patient in order to being able to map all work done on the device back to the correct entries in the database. With this information the image database can be searched for previously taken images of the patient. These images should be transferred to the device as convinient as possible for the physician and displayed registered to the correct patient’s position on the live camera image. After the procedure the new images can be brought back to the PACS by a similar technique.
Supervisor:Joerg Traub, Stefan Wiesner and Thomas Wendler
Director:Nassir Navab
Student:Dominik Zaeuner
start-end:2010/04/15 - 2010/10/15
Development of a Disposable Tracking Target for Medical Application (Master Thesis)

Supervisor:Ingo Jumpertz & Thomas Wendler
Director:Erich Wintermantel
Student:Berkin Ergün
start-end:2010/05/17 - 2010/11/15
Validation of Navigated Beta Probe Application in Cancer Surgery (DA/MA/BA)

In minimally invasive tumor resection the desirable goal is to perform a minimal but complete removal of cancerous cells. In the last decades interventional nuclear medicine probes supported the detection of remaining tumor cells. However, scanning the patient with an intraoperative probe and applying the treatment are not done simultaneously. In the past we extended the one dimensional signal of a nuclear probe to a four dimensional signal including the spatial information of the distal end of the probe (current status). This signal can be then used to guide the surgeon in the resection of residual tissue and thus increase its spatial accuracy while allowing minimal impact on the patient. The next step is to prepare clinical experiments and integrate the solution into the clinical workflow. The student in charge of this project will contribute in that step by designing ex-vivo (and eventually in-vivo) experiment protocols, preparing the experimental setup and evaluating the experiments on their own.
Supervisor:Thomas Wendler, Joerg Traub
Director:Nassir Navab
Student:
start-end: -
Workflow analysis for tumor resection procedures and evaluation of potential applications for radio-guided surgery (Master Thesis)

Cancer is the second main cause of death in Europe after circulatory diseases. Malignant neoplasm is responsible for approximately a fourth of all deaths accounting for 28.5% of male deaths and 22.0% of female deaths. The early detection of cancer and the optimization of treatment is the best way to improve the length and the quality of life of several millions European patients every year. Surgery is nowadays still the best way to completely treat tumor tissue. New medical methods and instruments thus should be developed with the aim of helping the surgeon to complete the operation in a more effective and less invasive way. In the last decades, an alternative method to the conventional operation has been developed to detect the tumor and control the tumor ground and margin by including so called nuclear probes. Their application in what is called radio-guided surgery succeeds commonly after the injection of a radiotracer to the patient. This radiotracer enriches in areas of particular interest and can thus be located in the operation room using proper the said nuclear probes. These probes are a relatively new tool in cancer resection. Of particular interest are high-energy gamma probes and beta probes, as they are highly suited to use with new positron emission tomography tracers. This study is devised theoretical to examine the feasibility of using such a hand-held probe in urological cancer to intra-operatively differentiate normal from tumor-bearing tissue. Based on detailed analysis and observations of prostatectomy, TUR-P, TUR-B, nephrectomy and orchiectomy and on the resulting statistics the feasibility is discussed. Moreover, this work gives proposals for the next required steps toward the introduction of these novel concepts in Urology.
Supervisor:Thomas Wendler
Director:Markus Schwaiger?
Student:Xin Xu
start-end:2007.07.15 - 2008.01.15
Bachelorarbeit: Development of a tangible multiplayer Tetris game on a Multitouch Table (Bachelor Thesis)

A new multiplayer tangible game should be implemented in this Bachelor Thesis. One, two or up to 4 players are able to play against each other or in cooperation on a multitouch table. Tangible 3d tokens are used for game playing, which have the shape of Tetris tokens should be used. A basic concept for the design exists already. This should be refined. New ideas can improve the concept.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:Simon Schenk
start-end:2010/07/15 - 2010/11/15
Speckle tracking for endosonography (DA/MA/BA)

Endoscopic ultrasound is a routinely used imaging modality for gastrointestinal diagnosis. For various applications it is desirables to track the spatial relation of sequential ultrasound images, i.e. movement of the ultrasound transducer. Due to the high resolution of the ultrasound images tracking might be possible using image content, in particular speckle patterns. This work will be done in close collaboration with the gastroenterological department of hospital rechts der Isar. If you have questions please contact Tobias Reichl.
Supervisor:Tobias Reichl
Director:Nassir Navab
Student:
start-end: -
Freehand 3D endosonography (DA/MA/BA)

Gastrointestinal endoscopic 2-D ultrasound is routinely used for diagnosis of the pancreas. However, it is desirable to record 3-D ultrasound volumes from sequences of 2-D images, together with position and orientation information for each frame. Such volumes can be visualised in a more comprehensive and repeatable manner, e.g. viewed from any angle. This work will be done in close collaboration with the gastroenterological department of hospital rechts der Isar. A three-dimensional ultrasound machine and electromagnetic tracking system are available at our research lab at hospital rechts der Isar. If you have questions please contact Tobias Reichl.
Supervisor:Tobias Reichl
Director:Nassir Navab
Student:
start-end: -
2D-3D ultrasound registration for tracking of endosonography (DA/MA/BA)

Supervisor:Tobias Reichl
Director:[Main.NassirNavab][Nassir Navab]]
Student:
start-end: -
Deformable Registration of 3-D ultrasound and CT for gastrointestinal interventions (DA/MA/BA)

Since pre-operative images and intra-operative patient posture can differ significantly, it is desirable to align pre-operative images with intra-operative data, e.g. three-dimensional ultrasound. Recently, a method has been proposed to compute this registration a computationally practical and fully automatic manner on the graphics card (GPU). This work will be done in close collaboration with the gastroenterological department of hospital rechts der Isar. A three-dimensional ultrasound machine and electromagnetic tracking system are available at our research lab at hospital rechts der Isar. If you have questions please contact Tobias Reichl.
Supervisor:Tobias Reichl
Director:Nassir Navab
Student:
start-end: -
Digital Tomosynthesis in Phase Contrast X-Ray Imaging (Diploma Thesis)

Supervisor:Tobias Lasser, Alberto Bravin, Paola Coan
Director:Nassir Navab
Student:Lorenz König
start-end: -
Closed-Form Solutions to Computation of Multiple-View Homographies (Diploma Thesis)

Several fields of applications in computer vision require 2d-homography estimation based on point-correspondences between multiple images, which put into relation the 2d-projective transformations of each image in regard to a global reference coordinate frame. Due to noise in the measured point coordinates and eventual false matches on the point correspondences, it is impossible to find an exact solution for these homographies. Therefore - under certain assumptions about the type of noise - the aim is to find best approximates, notably Maximum Likelihood Estimators (MLE) for those homographies. Unfortunately the task of determining those MLE involves, amongst other processing steps, the optimization of a non-linear cost function which requires initialization. The quality or accuracy of the initialization also affects the quality and accuracy of the final result of the optimization. Hence, improving the initialization technique is of significant interest when it comes to high-precision mosaicing.
So far, common initialization techniques either apply threading type methods to parallax-free scenarios or they apply batch type methods to sets of images with altering camera centers, although the concept of batch techniques allows the deviation of closed-form solutions. These closed-form solutions mainly differ from the threading type methods by the fact that they discard a whole level of detail from statistical point of view in order to linearize solving for an initial guess instead of heuristically withdrawing known and interpolating missing information.
This thesis introduces some of those closed-form solutions and investigates their behaviour in regard to a simple threading type solution with synthetic experiments and proves practical feasibility with a real example.

Supervisor:Adrien Bartoli, Pierre Fite-Georgel
Director:Nassir Navab
Student:Pierre Schroeder
start-end:2009/12/15 - 2010/06/15
Needle Detection in 3D Ultrasound (DA/MA/BA)

Supervisor:Christian Wachinger
Director:Nassir Navab
Student:Guillaume Houel
start-end: -
Diplomarbeit: Development of complex applications in a plugin-free web browser environment (Diploma Thesis)

Jeder PC, alle Smart-Phones und neuere Spielekonsolen besitzen einen Webbrowser inklusive eines AJAX-fähigen Javascript-Interpreters. Dadurch können auf all diesen Endgeräten dynamische Homepages angezeigt und asynchrone Serveranfragen gestellt werden. Es wird im Rahmen der Diplomarbeit gezeigt, dass es möglich ist, in dieser eingeschränkten Umgebung komplexe Anwendungen und Spiele entwickeln zu können und untersucht, ob auch alle gängigen Metaphern aus der für den Nutzer gewohnten Desktopumgebung in der plug-in-losen Webbrowser-Umgebung implementierbar sind. Ein im Rahmen dieser Arbeit entstandenes Framework, dass eine effiziente GUI-Entwicklung in dieser Umgebung ermöglicht, wird diskutiert. Die möglichen Servertechniken werden kurz vorgestellt.
Supervisor:Simon Nestler
Director:Gudrun Klinker
Student:Philipp Kemmeter
start-end: -
Diplomarbeit: Entwicklung von virtuellen Patienten zur Evaluation unterschiedlicher Triagesysteme (Diploma Thesis)

At mass casualty incidents (MCI) relief units are often facing a large number of injured persons. Triage systems are required to sort and treat the victims. In preparation for emergencies paramedics and physicians have to be trained in the application of these triage systems during special disaster control exercises at which mimes pose as injured persons. In this diploma thesis a virtual patient is to be designed and developed that can be diagnosed with various triage systems. The focus of the project is on designing an intuitive user-interface providing all essential interactions with the virtual patient. In addition to large-scaled disaster control exercises the virtual patient allows further triage practice.
Supervisor:Simon Nestler, Manuel Huber, Florian Echtler
Director:Gudrun Klinker
Student:Andreas Dollinger
start-end: -
Diplomarbeit: Supporting emergency responders using software‐based information management on mobile devices (Diploma Thesis)

A catastrophic event brings out special challenges to all involved staff, but especially to the rescue workers and firefighters. If there are also many injured or dead people, this is called a mass casualty incident, an MCI. This scenario is one of the most challenging events that emergency responders are confronted with. In this thesis concepts for an IT system are developed. Using these concepts, an emergency responder is able to support the director of operations by transferring information. The resulting data can then be used for coordination and planning, but the responders will also get helpful information. Fast and efficient interaction with the software system is of vital importance. Existing processes should not be slowed down. They will not be replaced and the new concepts will simply be integrated into the existing ones, if replacing them is not necessary. However, new paths are struck if the efficiency of responders can be increased by using them. It is also important that the handling of the mobile devices does not impede the emergency responders ‐ neither physically nor temporally. In order to fulfill all these conditions, an efficient user interface is needed. Within the limited display area of the mobile device, only relevant information must be shown so that it is utilized optimally. The project is carried out in collaboration with the TUM Feuerwehr. If possible, an evaluation should be held and the results of this evaluation should be analyzed.
Supervisor:Simon Nestler
Director:Gudrun Klinker
Student:Thomas Endres
start-end:2009/05/15 - 2009/12/15
Diplomarbeit: Software based planning and information management on mobile devices for supporting the administration of rescue operations (Diploma Thesis)

If there is a disaster, it usually requires a lot of resources, which are used for rescue operations, among other things. If there are a lot of persons injured or killed within the accident or attack, we call it an MCI, a mass casualty incident. For disaster management, these situations are particularly challenging because usually more resources are needed than are currently available. For the medication of the injured being efficient, the director of operations needs information about the location and the emergency responders as accurately as possible. Within this thesis, a software based prototype for supporting the director of operations in managing the crisis is implemented. Concepts for information management are developed, especially in the form of user interfaces. These concepts are used for collecting data about the injured and emergency responders and keeping track of all this information. Likewise, efficient communication with the responders at the disaster site should be possible. The director of operations himself must also be mobile and has to rely on mobile devices. The thesis is realized in cooperation with the TUM Feuerwehr. If possible, the prototype will be evaluated and the results of this evaluation will then be analyzed.
Supervisor:Simon Nestler
Director:Gudrun Klinker
Student:Peter Pichlmaier
start-end:2009/05/15 - 2009/12/15
C-arm Motion Estimation without Radiation (DA/MA/BA)

C-arm (X-ray source) motion estimation is a crucial step for many (computer aided) clinical applications, like X-ray image stitching, C-arm placement and so on. Most approaches are based on using X-ray images, and thus introduce additional radiation. Our Camera Augmented Mobile C-arm system is capable of acquiring the X-ray and optical image overlay, so the pose or motion of C-arm X-ray source can be computed using the information from optical images. This will definitely save a lot of radiation. Our current method for pose/motion estimation is using a planar marker pattern. The shortcomings are the difficulty of integrating this planar pattern into the clinical procedure and the limited viewed field to the camera. Therefore, using a flexible distribution of markers, in which markers can located in any 3D positions without any constraint, makes integration much easier and can provide an unlimited viewed field. However, using such a flexible distribution of markers will lose the 3D positions of each marker and thus the estimated translation is up to a scaling factor. We developed a novel method to recover this scaling factor. The main goal of this student project is to implement, evaluate and integrate the method.
Supervisor:Lejing Wang, Joerg Traub
Director:Professor Nassir Navab
Student:Maximilian Springer
start-end: - 2010/05
6DOF C-arm Motion using Kinematic Analysis (DA/MA/BA)

The standard mobile C-arm has five joint parameters. The relationship between the motion of the X-ray source and the joints parameters can be modeled using kinematic chains. Due to one DOF missing, not all motion can be achieved by the standard mobile C-arm even within it working space. Therefore, taking the motion of the operating table into account will build a C-arm system having 6DOF. Forward kinematic analysis of the C-arm is to find the positions and orientations of the X-ray source, given the values for the joint variables of the C-arm. The inverse kinematic is used to obtain the joint parameters leading to the desired motion of the end effector (X-ray source). The main goal of this project is computing the joint parameters (including the operating table motion) using the inverse kinematic. With these obtained joint parameters, surgeons can quickly move the C-arm to reach the any target within its work space, which will definitely simplify their operation and reduce unnecessary X-ray radiation.
Supervisor:Lejing Wang
Director:Professor Nassir Navab
Student:Rui Zou
start-end: - 2010/04/30
Development of a multitouch sensor for LCD displays (DA/MA/BA)

In cooperation with Lumin, the leading manufacturer of back-projection displays, we offer the opportunity to develop, build and evaluate new concepts for multi-touch screens.
Supervisor:Florian Echtler
Director:Prof. Gudrun Klinker
Student:Thomas Pototschnig
start-end:2008/11/15 - 2009/05/15
Hand Tracking with the Wiimote (Bachelor Thesis)

The past few years have seen many developments in computers move from the realm of research - even the realm of imagination and movies - into the hands of end users. However, two of the innovations that captured the imagination of both users and developers worldwide in the past few years were multi-touch surfaces and gesture- controlled devices. This paper addresses a project, carried out in the Fachgebeit Augmented Reality Lehrstuhl at the Techniche Universiät München (TUM), which aimed at combining these two technologies in one single software library. The tisch library, created by Florian Echtler at TUM, is aimed at keeping developers of multi-touch software fo- cused on the software development through providing an Application Programming Interface (API) that handles all low-level processing and hardware communication. The aim of the project was to integrate the use of the Wii Remote into this library. Two methods were devised for the integration of the Wii Remote with multi-touch surfaces. The first uses in-air hand gestures and the Wii Remote’s Infra Red (IR) camera capabilities, while the other integrated the Wii Remote’s normal hand-held use into the library. It was concluded that, while the integration of the Wii Remote into multi-touch hardware was not feasible due to its hardware limitations, its addition to the software library extended its use from multi-touch surfaces to include vertical displays that can be used alongside the multi-touch hardware it was originally designed for.
Supervisor:Main.FlorianEchtler
Director:Gudrun Klinker
Student:Amir Beshay
start-end:2009/03/01 - 2009/06/30
Tracking auf Mobiltelefonen für Augmented Reality Anwendungen (DA/MA/BA)

Supervisor:Björn Schwerdtfeger, Peter Keitler, Daniel Pustka
Director:Prof. Gudrun Klinker, PhD.
Student:Frieder Pankratz
start-end:2009/04/15 - 2009/10/15
Maintenance Support Using Hybrid Displays (Bachelor Thesis)

Supervisor:Björn Schwerdtfeger
Director:Gudrun Klinker
Student:Andreas Demmel
start-end: -
Remote Collaboration for Field Service - Defining Specification and Prototyping - in coop with Siemens CT (DA/MA/BA)

Service and maintenance of industrial plants and products has become more and more complex in recent years. Quite often, plant subsystems are delivered by different vendors, raising addl. problems for fault diagnosis and repair.Therefore, field service technicians must either have a very high and specialized skill level to solve these tasks in a reasonable time / within a reasonable cost frame, or other support technologies are provided. One method to mitigate these problems is to send universally trained technicians on-site and to support them by expert technicians via so-called Remote Collaboration. The on-site technician would be equipped with a wirelessly connected mobile pc, e. g. a tablet PC or a wearable PC, camera, microphone, etc. The goal is to present the remotely located experts the same “view” on the problem as the on-site technician has. Depending on the tasks to solve, this may require visual-/ acoustic- communication, data / application sharing, etc.There are a number of systems in the market, which potentially support this kind of remote collaboration scenario (MS Life Communication Server, Interwise, Arel, etc.). However, these systems rather aim at remote collaboration or video conferencing within an office environment. Therefore, a careful examination of such systems must be carried out, to decide which system fulfils best the requirements associated with the scenario described above. For missing Features a solution has to be found or implemented.
Supervisor:Main.BjoernSchwerdtfeger PierreGeorgel
Director:Main.NassirNavab
Student:
start-end: -
Automatic definition of cardiac axis in emission tomography (DA/MA/BA)

Emission tomography (PET and SPECT) are functional imaging modalities showing the three-dimensional distribution of radiolabelled molecules in the body. A major application is for cardiac imaging, mainly to evaluate myocardial perfusion. Cardiac images are reoriented before their clinical reading in order to have short- and long-axis views of the left ventricle. The reorientation is currently performed manually by defining the cardiac axis on two different views. The goal of the project is to develop and evaluate automatic methods to define the cardiac axis based on the image content and prior anatomical knowledge.
Supervisor:Axel Martinez Möller, Stephan Nekolla
Director:Prof. Nassir Navab
Student:
start-end: -
Implementation and Evaluation of a Human Motion Capturing System (Bachelor Thesis)

The goal of this project (Bachelor Thesis, SEP or equivalent) is to implement a Motion Capturing system in C++ that is based on an existing framework developed at the chair. The system has an interface to the tracking system and computes - in real-time - an optimal fit of a skeleton to the tracking data. Implementation contains a number of challenging aspects, such as the optimization algorithm, that are open for ideas and research by the student. After implementation, the student can freely evaluate the system with respect to numerous parameters, e.g. efficiency, precision, etc.
Supervisor:Loren Schwarz
Director:Nassir Navab
Student:
start-end: -
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Supervisor:
Director:
Student:
start-end: -
Navigated Biopsy of scintigraphic cold nodules for patients suspected of having thyroid cancer (Master Thesis)

Thyroid nodules a are very common clinical finding. Both physicians and surgeons are often asked to make a diagnostic decision or a management recommendation. In the thyroid diagnosis field, a scan of the functionality of the thyroid by using the radioactive isotope of iodine or technetium is generally available and standard technique in Nuclear Medicine. Such examination, commonly known as thyroid scintigraphy, enables the doctor to detect areas where an hyperfunction (hot areas) of the thyroid or an hypofunction (cold areas) are present. Nodules on the scan are classified according to their ability to take up the isotope. Almost all hot nodules are possibly benign tumors which can be treated with a radioiodine therapy, while cold nodules may be malignant tumors which have to be removed surgically.
At the moment, pictures of the metabolic activity of the thyroid are normally acquired, with using small gamma-ray cameras. While the taken images are usually "precise enough" for examinations, they only offer a two-dimensional view. The intraoperative technology of freehand SPECT makes possible to generate a three-dimensional view of the radioactive uptake by using an optically tracked gamma probe. Using this technology , extended by an ultrasound (US) probe, it is possible to distinguish between nodules with different uptake which are layered on top of each other. Furthermore in some cases, even if the doctor recognized the nodules, it is hard for him/her to figure out which was the cold nodule and which was the hot nodule in the US image. In fact, this is a very important information, as it is recommended to perform a biopsy of cold nodules to check whether they are malignant tumors.
In general, ultrasound guidance for such interventions is difficult to learn and perform. In a needle biopsy, the needle must be inserted into an anatomical target to remove a sample of tissue. The challenge here is to reduce the number of needle insertions by accurately inserting the needle into the target. In some cases, the collected material does not contain thyroid cells, or they contain too little to say, whether it is cancer, whether it is missing. It has the place in 30% of the cases in thyroid biopsy. To solve this problem biopsy is repeated, sometimes, if other cancer symptoms are present, the patient is operated in spite of deficiency in recognition of the malignant process in the biopsies.
To make biopsy procedures more accurately and certain we propose to visualize the scintigraphic information and the conventional needle on the ultrasound image. We believe that our system would help to precisely guide the needle to the target point (for example cold nodules) and thus to minimize the number of needle insertions as well as guarantee a secure diagnose. A successful needle biopsy could mean avoiding open surgical biopsy, which may require general anesthesia, hospitalization and a longer recovery period, beyond side effects and unnecessary danger. In this thesis presented an extension of the existing system combining the ultrasound with freehand SPECT technology of a biopsy needle guidance.
Supervisor:Thomas Wendler
Director:Nassir Navab
Student:Katarzyna Szajkowska
start-end:2008/08/01 - 2009/09/31
Evaluation of Realtime Object Detection and Tracking Method for Defining an Optimal Performance Algorithm (DA/MA/BA)

Supervisor:Stefan Hinterstoisser
Director:Nassir Navab
Student:Ya Chen
start-end: -
Calibration of Endobronchial Ultrasound (Diploma Thesis)

Endobronchial Ultrasound (EBUS) has become a valuable tool for guidance during bronchoscopic interventions. In this thesis a calibration method and associated phantom are developed. This calibration allows for the estimation of the spatial relationship between the optical camera of a bronchoscope and the integrated ultrasound transducer, without the need for a tracking sensor. Knowledge about this spatial relation, in conjunction with a model of the perspective projection of the camera, enables the mapping of points from the ultrasound into the camera image, and of points from the camera images to lines in the ultrasound image. A possible application for this is the compounding of freehand 3D ultrasound directly within a CT volume. For this, the position of the camera is first determined via an image based camera to CT registration, and the spatial relation is then applied to find the position of the ultrasound plane in CT coordinates. The proposed method is based on an automatic pose estimation for the camera using a dot pattern. A method based on Z-fiducial pose estimation with hollow rubber tubes is used for the ultrasound plane. After the required geometrical properties of the phantom are approximated, a precise specification is developed, a phantom is built and the resulting geometry is measured with an optical tracking system. The achievable accuracy of the proposed calibration method is evaluated. The calibration is compared to another calibration method based on the established hand-eye and singlewall techniques using an electromagnetic tracker for the latter method. The new phantom based calibration is found to be more robust, producing an average transformation with a smaller backprojection error than the established techniques. Calibrations can also be performed much faster with the phantom and do not require a tracking system, thus rendering it an interesting alternative to the established methods.
Supervisor:Marco Feuerstein, Tobias Reichl
Director:Nassir Navab, Kensaku Mori
Student:Philipp Dressel
start-end:2009/05/15 - 2010/01/15
A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition (DA/MA/BA)

The aim of the project is to develop a software platform to compute the 3D distribution of dose deposited in tissue samples during micro-CT image acquisition performed with monochromatic synchrotron radiation. The dose can be divided into two components: the primary dose deposited directly by the incident X-ray beam and the secondary dose deposited by scattered and fluorescence X-rays. Previous work carried out in the context of synchrotron stereotactic radiation therapy has shown that a deterministic algorithm can be used to compute the primary dose map [1], whereas a hybrid approach (combination of Monte Carlo and deterministic calculations) is well suited to the calculation of the secondary dose [1,2]. The aim of the master internship is to adapt this method to assess dose deposition inevitable (but optimizable) in CT image acquisition. Special care will be taken to relate optimal hybrid parameters to the geometrical/physical CT set-up. The software development will be carried out in the framework of the Geant4/GATE Monte Carlo code. The final goal is to obtain a tool which can permit to calculate doses in biological samples, but that also can be used to simulate the experiment and optimize the experimental procedure.
Supervisor:P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud
Director:Nassir Navab
Student:
start-end: -
Endless Marker Tracking (Hiwi)

In the scenario of a wide area tracking (usually larger than 5x5 square meters) the classic marker tracking approach to determine a cameras' pose is limited by the size of the markers and the registration process of these within the large area. Following the ruler principle a new binary marker shall be designend to overcome these shortcomings. Therefore algorithms in marker detection, registration and pose determination must be programmed and evaluated. The marker should consist of repetitive patterns providing relative information about the cameras' pose in relation to the complete marker.
Supervisor:Christian Waechter and Manuel Huber
Director:Gudrun Klinker
Student:Yasir Latif
start-end:2009/05/01 - 2009/07/31
A Framework for Visual Tracking of Articulated Objects (DA/MA/BA)

Supervisor:Daniel Pustka
Director:Prof. Gudrun Klinker
Student:Daniel Muhra
start-end:2008/11/15 - 2009/03/15
[[Students.DaToF3DReconstruction][]] ()

Supervisor:
Director:
Student:
start-end: -
Joint Master Thesis with the University of Miami: The Combination of Medical Ultrasound and Deep-Sea Sonography (DA/MA/BA)

The thesis will be supervised by Prof. Nassir Navab at the chair for computer aided medical procedures (CAMP) at TUM and Prof. Shahriar Negahdaripour at the college of Engineering at the University of Miami. The student will start at CAMP to learn the basics of medical ultrasound. This will to certain amount of the time happen at the Klinikum rechts der Isar. After this training period, he will continue his thesis at the University of Miami and work on optic-acoustic imaging for underwater search and inspection. The aim is to combine knowledge from these two separate fields of research. So, for example, investigating problems in sonar applications and looking in the community of medical ultrasound, if similar solutions have been proposed that could be adapted.
Supervisor:Christian Wachinger
Director:Nassir Navab
Student:Sarah Hempel
start-end: -
Upper Body Tracking using a Time of Flight Camera for a Magic Mirror (DA/MA/BA)

Supervisor:Tobias Blum
Director:Nassir Navab
Student:
start-end: -
Optical Screening Methods for Quantitative Evaluation of Progression in Skin Displasia (Master Thesis)

Supervisor:Tobias Lasser, Thomas Wendler
Director:Nassir Navab
Student:Rebekka Mayr
start-end:2008/11/15 - 2009/09/28
Confidence visualization and robust inference based on tracking for beta probe surface reconstruction (Diploma Thesis)

The main problem of current beta probe surface reconstruction is the sparse nature of the data used for it. A proper reconstruction scheme and visualization could assist the surgeon in the acquisition of measurement points that guarantee a valid reconstruction and thus minimize the risk of false interpretation and wrong therapy planning. This diploma thesis will evaluate strategies to solve this problem by means of grid discretization (rebinning), robust inference, and determination of a value of confidence for every defined grid point. Furthermore, a strategy the diploma thesis will investigate a proper visualization method to display the confidence level at grid points and the robustly reconstructed surface.
Supervisor:Thomas Wendler
Director:Nassir Navab
Student:Alexander Hartl
start-end:2007/07/15 - 2008/01/15
Entwicklung eines Rauminformationssystem für die TUM Universitätsbibliothek (Web 2.0) (DA/MA/BA)

Im Rahmen der Erneuerung der Webpräsenz der Universiätsbibliothek (http://www.biblio.tu-muenchen.de/) ist ein Rauminformationssystem zu entwickeln. Dieses ermöglicht die Standortanzeige der Bestände direkt aus dem Bibliothekskatalog heraus. Der Standort z.B. eines Buches wird auf einer Karte angezeigt.
Supervisor:Eva Artinger
Director:Gudrun Klinker
Student:
start-end: -
Group-wise CT to Ultrasound Registration of Lumbar Spine (DA/MA/BA)

Registration of pre-operative CT and freehand intra-operative ultrasound of lumbar spine aids surgeons in the spinal needle injection which is a common procedure for pain management. Patients are always in a supine position during the CT scan, and in the prone or sitting position during the intervention. This leads to a difference in the spinal curvature between the two imaging modalities, which means a single rigid registration cannot be used for all of the lumbar vertebrae. In this work, a method for group-wise registration of pre-operative CT and intra-operative freehand ultrasound images of the lumbar spine is presented. The approach utilizes a point-based registration technique based on the *unscented Kalman filter*, taking as input segmented vertebrae surfaces in both CT and ultrasound data. Ultrasound images are automatically segmented using a dynamic programming approach, while the CT images are semi-automatically segmented using thresholding. The registration approach is designed to simultaneously align individual groups of points segmented from each vertebra in the two imaging modalities. A biomechanical model is used to constrain the vertebrae transformation parameters during the registration and to ensure convergence.
Supervisor:Christian Wachinger
Director:Purang Abolmaesumi, Nassir Navab
Student:Abtin Rasoulian
start-end: -
Feasibility study of beta probes for intraoperative detection of malignancy (Master Thesis)

Cancer is becoming one of the biggest problems in our aging society. The most common and still the most efficient therapy in cancer is tumor resection. One of the major issues in cancer resection is to guarantee that the complete tumor is included within the extracted tissue. Currently the most common method for checking the resection border is the frozen section procedure . The surgeon is resecting tissue suspected to be tumorous and then the resected sample is examined by pathologist. If on the borders of the resected tissue any cancer tissue is left, the resection must be repeated. The whole proces is a rather time consuming process.
The intraoperative β−probes are used since the early 90’s in operating rooms, but physicians are not content with this technology. Currently β − probe systems require long experience from the surgeon. Finding and marking active tumor tissue is not a trivial issue.
As a complementary to the frozen section procedure, β− probe resection control was introduced. Using navigated β −probes and nuclear tracers, the surgeon can examine resected borders before and during the time needed for the frozen section procedure. This system can increase accuracy and decrease time of the cancer resection operation.
Even though β − probes were introduced long ago, few experiments have been done on human patients. However, besides technical evaluation little - to nothing has been done towards evaluating the biological feasibility of β − probes.
In this thesis we will focus on biological feasibility studies of using the β − probe intraoperatively. Two types of cells are examined, the human bladder cancer, and the human foreskin fibroblasts. The thesis is concentrating on proving the possibility of generating images of tumors and distinguishing tumor from non-tumor cells. The β− probe images were compared to images of labeled human bladder cancer with luciferine enzyme.
To generate stable and repeatable images a scanning system using a mechanical positioning device is introduced. We will present a test of the system as well as data acquisitions to validate the system and to generate future model definitions.
Supervisor:Thomas Wendler and Tobias Lasser
Director:Nassir Navab
Student:Jakub Bieniarz
start-end:2008/09/01 - 2009/08/31
Video-based bronchoscope tracking for navigated bronchoscopy (Bachelor Thesis)

Bronchoscopy is a technique for diagnostic and therapeutic procedures in medicine. Thereby a endoscope is inserted in the mouth or nose of the patient and is passed through the trachea in the bronchi. Until now the physicians mostly have to accomplish the examination with only what they see on a monitor and their knowledge of anatomical structures. Since the bronchus are very complex and have many branches it isn’t easy to stay oriented and so at the expense of the patient the duration of an examination increases. Therefore a system which assists the physicians might be very useful. The main goal is the development of a bronchoscopic navigation system (BNS) that delivers the current position and orientation of the bronchoscope with reasonable visualizations. In this thesis the tracking process of the bronchoscope based on a 2D-3D registration problem is presented. The 3D-dataset consists of a virtual bronchial tree that is rendered from a given CT-dataset with an iso surface renderer. A flight with a virtual camera through the bronchial tree is simulated to obtain virtual endoscopic images. The 2D dataset are the image frames from the bronchoscopic camera. Since the pose of the virtual camera in CT space is known the tracking process is reduced to a registration problem where the virtual image which is most similar to the current real image, have to be found. With a given start position and an adequate optimizer and similaritymeasure, this registration step can be performed for each image frame of the real camera and thus we obtain the current position and orientation of the bronchoscope for each frame. The performance and robustness of our tracking method was tested in experiments and evaluated.
Supervisor:Tobias Reichl, Oliver Kutter
Director:Nassir Navab
Student:Benedikt Schultis
start-end:2009/04/15 - 2009/09/14
Blood Flow Simulation for Angiographic Interventions (DA/MA/BA)

Supervisor:Martin Groher
Director:Nassir Navab
Student:Max Hainz
start-end:2008/05/15 - 2009/06/15
Tumor segmentation based on dynamic PET measurement (Master Thesis)

Modern cancer therapy has extended the frontline to tumor substructures. Molecular imaging makes it possible to identify underlying biological features of malicious lesions. As one important clinical imaging modality, positron emission tomography (PET) reveals the metabolic and pathological properties. Dynamic PET measurement has its potential to explore more information based on the kinetic difference of tumor microenvironment. This information could be used to assist cancer diagnosis, therapy planning and so on. After injection, radio labeled tracers experience different delivery, metabolism and clearance in Patients. The variant shapes of time activity curves (TAC), which are responses according time detected by PET, indicate different pathological characteristics of the targets. The goal of this project is to generate classification of substructures of solid tumors based on the quantitative and morphological features of TACs. Through trying different algorithms and criteria it is possible to have the clusters of different tumor features, such as hypoxia, necrosis and so on. The clusters could be validated through other imaging modalities and further with microscopic images.
Supervisor:Kuangyu Shi
Director:Nassir Navab
Student:
start-end: -
Design & Development of a Flexible User Interface for Radiation Therapy Planning (Bachelor Thesis)

Radiation therapy is one main cancer treatment method, which uses ionizing radiation to control malignant tumor cells. With modern computer technology, intensity-modulated radiation therapy (IMRT) can be applied to precisely deliver dose to target tumor while normal tissues can be spared. It is not only geometry conformal but also biology conformal. Through optimization and treatment simulation, the beam shape and dose can be well planned before the therapy. A user friendly interface of planning system is of great help for radio oncologists and physicists. The goal of this project is to design and develop the user interface for a research radiation planning system. It includes the interaction of display and modification of medical images, tumor contours, radiation beams, dose profiles and so on.
Supervisor:Kuangyu Shi
Director:Nassir Navab
Student:
start-end: -
Entwicklung eines 3D-Sichtfelds der Fahrzeugumgebung (DA/MA/BA)

Moderne Fahrzeuge können, mit verschiedenen Kamerasystemen ausgerüstet, die Fahrzeugumgebung erfassen und den Fahrer beim souveränen Manövrieren des Fahrzeugs unterstützen. Unerlässlicher Bestandteil ist dabei die geeignete Darstellung der Fahrzeugumgebung auf dem Fahrerbildschirm. Neben einer 2D-Vogelpersektive wäre es wünschenswert, dem Fahrer eine Sicht auf das Fahrzeug aus jedem gewünschten Blickwinkel zu ermöglichen.
Supervisor:Sebastian Spiekermann
Director:Gudrun Klinker
Student:
start-end: -
Phase Aberration Compensation for Transcranial Ultrasound (DA/MA/BA)

Ultrasound is a non-invasive imaging technique that can be easily and cheaply integrated into the OR environment. We plan to use ultrasound for neurosurgical interventions. Transcranial ultrasound means imaging the brain through the skull of patient (i.e. through the temporal lobe, or temples, in German “Schläfe”) of the patient. This technique is especially appealing because it is entirely non-invasive and even does not require sterilization. However, scanning through human bone modifies the ultrasound waves by changing their phase, hence the name “phase aberration”. Recent literature suggests that this “phase aberration” can be corrected. For that, we track the ultrasound optically and derive the skull thickness at the scanned position from a previous CT or MRI image.
Supervisor:Tassilo Klein, Ahmad Ahmadi
Director:Nassir Navab
Student:
start-end: -
Tracking in Interactive Spaces (in Barcelona, Spain) (DA/MA/BA)

The task of people tracking in the interactive space XIM is solved by using Particle Filters, one type of Bayesian estimation, for estimating humans' states within the environment. The Particle Filter uses a four dimensional motion model to predict the human behavior. An innovative approach to evaluate images from a ceiling mounted infrared camera is applied to calculate the probabilities for each of the Particle Filter's hypotheses about the human's state. Additionaly, a simple concept to detect newly arriving visitors and leaving visitors is introduced to enable the system to work complete automatically without manual interaction using the pressure sensitive floor.
Supervisor:Daniel Pustka
Director:Gudrun Klinker
Student:Christian Waechter
start-end:2007/09/15 - 2008/05/15
An Iterative Reconstruction Framework for Surface PET: Positron Activity Surface Imaging using Tracked Beta Probes for Intraoperative Control of Resection Borders in Cancer Surgery (Master Thesis)

Supervisor:Thomas Wendler, Tobias Lasser
Director:Nassir Navab and Markus Schwaiger
Student:Coskun Özgür
start-end:2008/05/01 - 2009/02/15
Error Classification and Propagation for Electromagnetic Tracking (DA/MA/BA)

Supervisor:Joerg Traub Marco Feuerstein
Director:Nassir Navab
Student:Julian Much
start-end:2007/05/15 - 2008/01/15
Error Propagation for Augmented Reality Assisted Navigated Pedicle Screw Implantation (Diploma Thesis)

Supervisor:Tassilo Klein, Christoph Bichlmeier
Director:Nassir Navab
Student:Irene Faure de Pebeyre
start-end:15.06.2008 - + 6 month
Tracking und Kalibration mit einem Infrarot-Optischen Mehrkamerasystem (Project)

Ziel dieser Diplomarbeit ist es, für ein (vorhandenes) infrarot-optisches Mehrkamerasystem Algorithmen zum Tracking und zur Kalibrierung zu implementieren und zu vergleichen. Die Kaeras liefern über USB Scharz-Weiss Bilder der Szene die sie mit ihrem eingebauten Infrarotblitz ausleuchten.
Supervisor:Daniel Pustka
Director:Gudrun Klinker
Student:Daniel Muhra
start-end:2007-08-01 - 2007-10-31
Implementation and Validation of Intensity Based 3D-2D Registration Algorithms for Radiation Therapy (Diploma Thesis)

One of the main applications for computers in medicine is to digitally merge patient data that originates from different sources. For our 2D-3D Registration problem, this means finding the right spatial alignment of a three-dimensional Computed Tomography (CT) data set and one or two X-Ray images from the same patient. An automatic algorithm has to create a digitally reconstructed radiograph (DRR) for a specific orientation in the CT data set, compare the result with the X-Ray image, alter the position and orientation of the DRR and repeat the process until the optimal alignment is reached. A key issue is to assess the alignment of these two images in every step. We present a comprehensive examination of all intensity-based similarity measures known in literature, and use them with a number of different optimization algorithms.
We developed a prototypic application for both manual and automatic registration. The performance is evaluated for different data sets, and validation is done using marker-based ground truth information. The results show that we are able to do very precise and fully automatic registration within a couple of minutes. We propose to use this technique to find the correct patient position on the treatment couch for radiation therapy. This would replace the common, often very inconvenient immobilization methods.
Supervisor:Ali Khamene, Martin Bauer
Director:Prof. Gudrun Klinker Ph.D.
Student:Wolfgang Wein
start-end:2003/06/15 - 2003/12/15
Maintenance Support using Hybrid Displays (Diploma Thesis)

As every system becomes more and more complex, the according maintenance becomes more and more difficult. This diploma thesis describes a maintenance assistant system which simplifies the maintenance action and makes it more fail-safe. In particular, a workflow editor and the runtime engine of the maintenance assistant system are developed. This system divides any information physically into the socalled where-to-act and the what-to-do display. The where-to-act display provides simple directional information directly on the desired object in the environment and is presented by a laser projection. The additional what-to-do display tells the user the complex instruction. In the end, the system is tested with an application analysis.
Supervisor:Main.BjoernSchwerdtfeger
Director:Main.GudrunKlinker
Student:Main.AndreasDemmel
start-end:2007/10/15 - 2007/04/15
Volume Flow Rate Determination in the Cranial Vessel Tree Based on Quantitative Magnetic Resonance Data (Master Thesis)

Quantitative MR techniques based on phase-contrast flow sensitive MR-sequences are from increasing interest for cardiac volume flow measurements. They are not only non-invasive but usually also yield more meaningful results than for example CT scans using contrast agents. In the cranial vessel tree, however, they are still far from prevailing. This is mainly caused to the fact that fro quantitative measurements two MR examinations are required: in the first examination a volume for segmenting the cranial vessel tree is acquired; based on this the attending physician decides where to place the usually double-oblique slices for a quantitative MR-recording. The placement is chosen to receive flow information about specific vessels. This thesis will develop a method to generate quantitative information about the blood flow for all major vessels in a full 3D dataset without manual interaction during data acquisition. This will be achieved by combining sets of parallel phase-contrast images in different orientations with an abstract representation of the segmented vessel-tree.
Supervisor:Thomas Seiler (BrainLAB), Fritz Vollmer (BrainLAB), Andreas Keil
Director:Prof. Dr. Nassir Navab
Student:Jürgen Sotke
start-end:2007/08/15 - 2008/02/15
Intraoperative Guidance via Medical Augmented Reality (Diploma Thesis)

For the NARVIS project two critical stages of minimal invasive spinal trauma surgery have been identified that can be improved with advanced visualization of imaging data. The stages port placement and pedicle screw placement require anatomical imaging data in order give the surgeon sufficient information for performing his task.

Port placement is a very early stage of the procedure that determines the access to the operation site and the course of the whole surgery. To allow the surgeon for an optimal access to the operation site we want to provide an intuitive guidance making him find adequate places of the ports.

Pedicle screw placement is one of the critical parts of the surgery since their alignment and position decides on success outcome of the surgery to stabilize the spine without harming surrounding tissue.

For both stages 3D guidance of surgical instruments can support the surgeon. The aim of the guidance can either be guiding to a certain position and orientation of the instrument or avoiding critical anatomical structure during the procedure.

The guidance will be achieved by in-situ visualization with a head mounted display (HMD) and visualization of preoperative CT data and intraoperative imaging data.
Supervisor:Tobias Sielhorst
Director:Nassir Navab
Student:Martin Schulze
start-end:2006/10/15 - 2007/03/15
Contributions for building specific CAD models for vision-based application (Diploma Thesis)

This diploma thesis investigates the use of vision features for CAD models. The advantage of combining CAD models and vision features lies in the known 3D geometry of the CAD model and the relation of that geometry to vision features. Exemplary vision features are e.g. SIFT features, randomized trees and other well known methods of this area. A new approach will also be tested. The main goal in this diploma thesis is to use such an extended CAD model for pose estimation and therefore for tracking initialization.
Supervisor:Selim Benhimane
Director:Nassir Navab
Student:Stefan Hinterstoisser
start-end:2006/07/15 - 2007/01/15
Real-Time Respiratory Motion Tracking: Roadmap Correction for Endovascular Interventions (DA/MA/BA)

Supervisor:Martin Groher
Director:Nassir Navab
Student:Selen Atasoy
start-end:2007/01/15 - 2007/06/15
Focus and Context Visualization for Medical Augmented Reality (Diploma Thesis)

This diploma thesis concerns focus and context visualization of anatomical data (obtained from different imaging modalities) for medical augmented reality (AR) and thereby the correct fusion of real and virtual anatomy. Medical AR is intended to be used for pre-operative diagnosis, intra-operative guidance and post-operative control, but is still in the stadium of research and was not practically applied yet. It is a technique which augments the surgeon’s real view on the patient with virtually visualized anatomy of the patient’s body. A medical AR system used for the purpose of focus and context visualization includes a tracking system and a video see-through, head-mounted-display (HMD) enabling a stereoscopic, augmented view on the AR scene. Focus refers to the part of the virtual anatomy, the observer (surgeon) is interested in, e.g. the operation site, which has to be perceived at the correct location respective the context of the real skin. In a possible future application of medical AR for surgical interventions, correct perception of position and depth of the focus has to be guaranteed. If the perception of the focus is disturbed or misleading, the danger exists that the surgeon operates at the wrong location and thus vitally important organs of the patient are hurt. Many visualization approaches for medical AR suffer from a misleading depth perception, since the normally hidden interior anatomy is just superimposed on the patient’s body. In these approaches the virtual anatomy seems to be located in front of the human body. Partial occlusion of the virtual anatomy by the real skin can solve this problem. Within this diploma thesis further methods for improving the perception of layout (arrangement) and distances of objects in the AR scene are discussed. Visual cues for the perception of layout and distances of focussed virtual anatomy can be enabled by the exploit of context information. Context information can be provided as well by a correct integration of the camera image, recorded by the color cameras mounted on the HMD, as by non-focus parts of the virtual anatomy. Within the scope of the practical work of this thesis a focus and context visualization framework for medical AR was implemented, which considers and exploits depth cues enabling a correct perception of the focussed virtual anatomy. Therefore general principles and methods for creating and designing focus and context visualizations are taken into account, which are mainly adapted from hand-made illustration techniques. The framework provides a correct fusion of real and virtual anatomy and realizes an intuitive view on the focussed anatomy of the patient. It includes a new technique for modifying the transparency of the camera image of the real body. The transparency is thereby adjusted by means of properties (e.g. curvature) of a virtual skin model. Additionally, a method for clipping parts of the anatomy, hindering the view onto the focus, is introduced. The framework also contains methods for integrating surgical or endoscopic instruments into the medical AR scenario. Instruments are virtually extended as soon as they penetrate into the patient’s body. Moreover, the penetration port is highlighted and virtual shadows are used to provide visual feedback from instrument interaction. The effectiveness of the developed techniques is demonstrated with a cadaver study and a thorax phantom, both visualizing the anatomical region of the upper part of the body, and an in-vivo study visualizing the head.
Supervisor:Christoph Bichlmeier
Director:Nassir Navab
Student:Felix Wimmer
start-end:2007/02/15 - 2007/08/15
Development of a model for computer-aided driver behaviour simulation (DA/MA/BA)

Supervisor:Martin Wohlfahrter (LFE), Florian Echtler
Director:Prof. Gudrun Klinker
Student:Severina Popova
start-end:2008/03/15 - 2008/09/15
Multi-View Deconvolution of Biomedical Images (Diploma Thesis)

Supervisor:Darko Zikic
Director:Prof. Nassir Navab
Student:Moritz Blume
start-end:2006/05/01 - 2007/01/22
Evaluierung markerloser Trackingverfahren zur Realisierung einer MagicBook-Anwendung (Diploma Thesis)

Supervisor:Katharina Pentenrieder
Director:Gudrun Klinker
Student:Sebastian Lieberknecht
start-end:2007/12/15 - 2008/06/15
Hybrid Segmentation Method for Treatment Planning of Abdominal Aortic Aneurysms (DA/MA/BA)

Abdominal aortic aneurysm (AAA) is a vascular disease that results in an enlargement of the abdominal aorta due to weakened aortic wall. The preferred treatment today is a minimally invasive procedure based on endovascular placement of an aortic stent graft. In order to perform this procedure successfully, the appropriate stent graft device has to be selected during treatment planning. Therefore, accurate measurement tools are required in order to calculate the stent graft’s preferred size out of the preoperatively acquired CT volume. Moreover, Physicians need to choose the right material in order to suppress rupture and locations of high pressure. A thorough segmentation of both the aorta and the aneurysm can provide more information about the characteristics of the aortic wall and the stent graft’s effect on it.
Supervisor:Stefanie Demirci, Max Baust
Director:Nassir Navab
Student:Guy Lejeune
start-end:2008/02/01 - 2008/09/01
Building a Gesture-Based Information Display (DA/MA/BA)

The Siemens SiViT is a gesture-based information display for use in public settings. We have been donated one of these systems, however, most of the hard- and software is not up to current standards anymore and needs to be replaced. Additionally, suitable information and presentation schemes for the finished system should be selected. The resulting system should support multiple pointer ( Finger tips ), possibly by multiple persons.
Supervisor:Florian Echtler,Manuel Huber
Director:Gudrun Klinker
Student:Nikolas Dörfler
start-end:2007/03/15 - 2008/09/15
[[Students.MaThompson][]] ()

Supervisor:
Director:
Student:
start-end: -
Advanced In-Situ Visualization for Vertebroplasty (Bachelor Thesis)

This bachelor thesis concerns the process of bringing over our existing medical augmented reality system from research stage to its first practical use at a real intervention. In today’s medicine, more and more operations are performed using minimally invasive or keyhole surgery. In this technique, all surgical instruments are inserted through a tiny cut in the patient’s skin. As a consequence of this technique, the operating surgeons heavily rely on navigation techniques to compensate for the missing direct view on the operation site. This means that, now, a surgeon has to operate in two locations at the same time: the real operation site and the display of the navigation system that shows him what he is actually doing. This dilemma was the starting point for the navigation and augmented reality visualization (NARVIS) project at the chair for computer aided medical procedures and augmented reality (CAMPAR). The core technology of this project is a medical AR system, consisting of a video see-through head-mounted display (HMD), an optical tracking system and the corresponding software framework, that allows one to visualize anatomical structures in situ. In situ visualization means, that a surgeon, wearing our HMD, sees the virtual anatomical structures exactly where their real counterparts are located. This facilitates him to operate, without constantly switching his focus between the actual operation site and the display of the navigation system. This allows a very natural operation procedure with all the advantages that modern navigation systems offer. Although much research has been invested in the possibilities and challenges of such a medical augmented reality system, there has never been a project that tried to compile all the results and tailor the system for one specific operation. Based on a suggestion from one of our cooperating surgeons at the Klinikum Innenstadt, the vertebroplasty intervention was chosen to be this first target operation. In my work, I analyzed the vertebroplasty and the existing AR system. Then, I formulated a research vision of how our technology could be used in this operation. Based on the research vision, I further analyzed what research and development steps needed to be taken. After developing this outline, I started my research and development work in the most important or unexplored areas. To evaluate and further analyze the operation and the progress of the AR system, my supervisor and I conducted an experiment at the beginning and at the end of my thesis work. Furthermore, I surveyed surgeons from Klinikum Innenstadt, to measure their acceptance of the system, define development priorities, and explore new possibilities for our technology.
Supervisor:Christoph Bichlmeier
Director:Nassir Navab
Student:Arno Scherhorn
start-end:2007/05/15 - 2007/10/15
Design, Implementation and Evaluation of a Workflow System for Augmented Reality Applications (DA/MA/BA)

Supervisor:Katharina Pentenrieder, Hr. Kühn, Metaio gmbh
Director:Gudrun Klinker
Student:Stefan Misslinger
start-end:2008/01/15 - 2008/07/15
Optimierung und Evaluierung der Interaktion und der Visualisierung eines Pick-By-Vision Systems (DA/MA/BA)

Supervisor:Björn Schwerdtfeger
Director:Gudrun Klinker
Student:Xueming Pan
start-end:2008/01/15 - 2008/07/15
Enabling Personalized Augmented Reality Display Technology in Cars (DA/MA/BA)

This thesis' focus resides on developing technologies that enable incorporation of AR techniques into cars to enable driver assistance systems. For this purpose the rendered virtual content is presented on a conformal Head-Up Display (HUD) that uses the car's windshield. The construction of the HUD introduces two major sources of distortion on the image that have to be overcome: lens distortion caused by the fresnel lens, which is used to stretch the distance between the driver's eyes and the focal plane of the HUD, and distortion due to the curved shape of the windshield. Every windshield is unique in its shape so first a calibration procedure that can extract the distortion parameters of any given windshield should be developed, and then distortion correction can be performed with the help of a piecewise projective warping function. A calibration procedure for fresnel lenses should also be implemented, and with its help the image can be undistorted by using a radial distortion warping function. Since the image distortion presented by a lens depends on the distance and position of the viewer with respect to the center of the lens, the driver's head position has to be taken also into account when developing the correction function. For tracking the driver's head we intend to use a 6DOF-Tracker, for example UbiTrack?. The tracked driver's pose is also needed for continuously adapting the projection and viewing matrix of the rendering process, so that virtual objects are always aligned in the physical world.
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Michail Yordanov
start-end:2007/11/15 - 2008/07/15
Presentation Concepts for Conformal Navigation Systems (Diploma Thesis)

Integrated into the car, Head-up Displays (HUD) enable information presentation in the driver's windshield. This display combined with Augmented Reality enables extension of the street scenery with conformal (location-fixed) navigation aids. Navigational arrows then appear to be aligned onto the street and seemingly integrated into the real environment. The presentation of route guidance information generates new challenges for investigation. The main reason for the application of HUDs lies in reduced glance times. The focal plane of HUDs therefore must reach large distances so that the human eye does not have to adjust to another focal depth when viewing from the street scenery onto the HUD. To achieve the desired focal length, but to keep the opportunity of information presentation in near distance, a conformal HUD has been built placing the focal plane in a distance of about 13 meters in front of the driver. The virtual projection screen became blown up to cover a wide field of view. This approach lead to a large relative size of screen pixels. This setup impairs the distance at which AR information can be displayed. A navigational arrow for instance will have to less pixels to be perceivable in large distances. The development of an application for preliminary studies to identify distance limitations for different conformal visualization schemes therefore is scope of this thesis. Different design concepts for AR navigation aids will be evaluted in terms of their perception in large distances
Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Leslie Klein
start-end:2007/11/15 - 2008/05/15
Surgical Workflow Analysis: Representation and Application to Monitoring (Diploma Thesis)

The goal of the workflow project is the representation and automatic monitoring of surgeries. An important application of workflow monitoring is to provide context-sensitive interfaces and information to the surgeon. Furthermore detection of exceptions and automated report generation are possible tasks related to workflow. Previous work by Ahmadi and Tautschnig led to advances in the offline and online recovery of surgical workflow. The aim of this work is to further research the meaning and creation of an average surgery, online recognition of phases and applications of surgical workflow analysis.
Supervisor:Nicolas Padoy
Director:Nassir Navab
Student:Tobias Blum
start-end:2007/02/15 - 2007/08/15
High Accuracy Tracking for Medical Augmented Reality (DA/MA/BA)

Augmented Reality is an emerging technology combining virtual reality media with perception of reality in order to present information in a very intuitive way. This young technology offers a wide range of use from supporting any professionals in performing complex actions to mere entertainment. One of the major problems is tracking the user’s position for projecting virtual objects in the expected place. There are several different tracking techniques with different advantages and drawbacks. In the environment of medical Augmented Reality a way of tracking is needed that yields high and dependable accuracy and robustness while a large spatial range may be neglected. For this purpose the RAMP Project at Siemens Corporate Research takes advantage of visual inside-out tracking of a single camera. In this thesis it will be shown how the needs can be met. Instead of tracking natural markers in images, artificial landmarks are introduced into the setup. By choosing a very simple shape for these fiducials the image has less complexity which enhances robustness of the algorithms and allows for fast computation time. Fast calculation allows for adding more redundancy for more accuracy. As a drawback of the simple fiducials new algorithms had to be created in order to extract implicit information about visibility, partial occlusion and identification of each fiducial.
Supervisor:Ali Khamene, Ph.D. (Siemens Corporate Research)
Director:Gudrun Klinker
Student:Tobias Sielhorst
start-end: - 2003/10/24
Advanced 3D visualization for intra operative AR (Diploma Thesis)

Dorsal surgery, e.g. herniated intervertebral discs, is a medical domain that can benefit from new techniques for visualization of medical data. Vertebras are covered by the spine, big muscles, rips, blood vessels and other viscera. Reaching the operation site while an intervention is a difficult and sometimes hazardous undertaking and a direct view onto the vertebras is nearly impossible. If possible, nowadays interventions concerning the spinal column are performed via keyhole surgery. Because there is just a small hole through the skin, the surgeon has to navigate his instruments according to the images created by the camera of the endoscope and screened on a monitor. Effects of computer graphic, techniques of visualization, a video see-through head mounted display (HMD) and an optical tracking system enable the stereoscopic in-situ representation of CT data. Data is aligned with the required accuracy and the surgeons get an intuitive view onto and ”‘into”’ the patient. Unfortunately, this method of representing medical data suffers from a serious lack. Virtual imagery, such as a volume rendered spinal column, can only be displayed superimposed on real objects. If virtual entities of the scene are expected behind real ones, like the spinal column inside the human thorax, this lack implicates incorrect perception of the viewed objects respective their distance to the observer. The powerful visual depth clue interposition is responsible for this misinformation about depth. This thesis aims at the development and evaluation of methods that improve depth perception in stereoscopic AR. Its intention is to provide an extended view onto the human body that allows an intuitive localization of visualized bones and viscera such as vertebras, muscles, rips and blood vessels. Therefore various approaches were implemented and designed to create or intensify helpful depth clues within the workspace of a surgeon.
Supervisor:Tobias Sielhorst
Director:Nassir Navab
Student:Christoph Bichlmeier
start-end:2005/06/15 - 2006/02/28
Image-based Quantification of Patella Cartilage using MRI - Evaluation of Novel Methods for Segmentation, Volume and Thickness Estimation (Master Thesis)

Osteoarthrosis (OA) is one of the major socio-economic burdens nowadays. There is a strong need for non-invasive, accurate, and efficient tools in order to support the clinical work of diagnosis and therapy. MRI technology provides superb soft tissue contrast and high resolution three-dimensional image data; MRI can visualize cartilage and other articular tissues directly. The combination of accurate image segmentation methods and tools for volume and thickness quantification are promising approaches which can deliver significant parameters for diagnosis and therapy. In the literature of cartilage segmentation, a perfect method for the patella cartilage segmentation has not been accomplished. In this project, we evaluate several different segmentation methods: atlas-based, shape models, semi-automatic and manual, to see the respective advantages and deficiencies. Then we suggest how to use different methods in appropriate situations. We also present methods to calculate the volume of the cartilage instead of voxels numeration to increase the accuracy to the sub-voxels level. The reconstruction model accords with the anatomic shape of the patella cartilage. 3D visualization of the cartilage is made based on triangulated faces and minimum Euclidean distances from the vertexes of triangles of the cartilage bone interface to the triangles of the cartilage interface are calculated to find the minimum value at each point in order to determine the cartilage thickness distribution. The proposed methods are tested and evaluated on a big number of data sets from healthy volunteers as well as patients suffering from OA. The cartilage volume and thickness of the pathologic and healthy data sets are analyzed to find the statistic characters and help the diagnosis in clinical work.
Supervisor:Dipl.-Inf. Ben Glocker
Director:Prof. Nassir Navab
Student:Shanshan Cui
start-end: -
AR in Cars for Assistance at Interesection (DA/MA/BA)

With the help of Augmented Reality it is possible to present different information in a contact-analog Head-Up Display (HUD). With increasing usage of sensor systems in automobiles, a huge number of information is made available. An intelligent, situation-dependent display of spatial information is necessary for the driver. As part of your work, you should investigate and develop different display strategies and concepts for HUD and integrate them in the fixed-based driving simulator of the Institute for Ergonomics, Mechanical Faculty (Fakultät für Machinenwesen).
Supervisor:Marina Plavsic, Marcus Tönnis
Director:Gudrun Klinker
Student:Markus Duschl
start-end:2007/10/15 - 2008/06/15
Display Technologies for Augmented Reality Support in Logistics (Master Thesis)

As the world becomes smaller the complexity of logistic networks increases. With it highly adaptive systems are needed to withstand large-scale rapid changes with influences in the logistics chain all the way down to the internals of warehouses. To this end, several techniques such as pick-to-light and pick-to-voice have been developed to assist workers in the common picking task both in efficiency and to decrease errors. Augmented Reality systems might have the potential to help the workers even more when adapting to new environments, but it has yet to be seen how the different display technologies help the workers perform. In this scope this thesis is based, and by exploring the characteristics of the displays, some of them have been chosen to have their usability in picking scenario evaluated by experiments. Therefore an experimentation framework based on DWARF was developed which allows to rapidly change between different displays while measuring user performance during different task from the picking scenario. And finally two experiments have been conducted to measure the wayfinding times related to navigation between shelves and to picking items from a shelf.
Supervisor:Daniel Pustka, Bjoern Schwerdtfeger
Director:Gudrun Klinker
Student:Troels Frimor
start-end:2005/12/15 - 2006/07/15
Discovery and Detection of Surgical Activity in Percutaneous Vertebroplasty (Diploma Thesis)

Supervisor:Nicolas Padoy
Director:Nassir Navab
Student:Ahmad Ahmadi
start-end:2007/07/01 - 2008/03/31
Tracking von Verkehrsteilnehmern in Multi-Sensor Systemen (DA/MA/BA)

Die BMW Group bietet Ihnen ein spannendes Thema für Ihre Diplomarbeit im Bereich Projekte Connected Drive. Thema ist das Tracking von Verkehrsteilnehmern in Multi-Sensor Systemen. Ziel dieser Arbeit ist es das Potential eines neuartigen Ansatzes (Partikel Filter) zur Verfolgung von Verkehrsteilnehmern in Multi-Sensor-Systemen zu untersuchen. Hierzu soll ein bereits bestehendes Fahrumfelderfassungssystem, das auf einem konventionellen Kalman Filter basiert, um einen Partikel Filter ergänzt werden. Die abschließende Evaluierung des betrachteten und implementierten Verfahrens findet in einem BMW Versuchsträger statt. Wesentliche Bestandteile der Arbeit sind: Implementierung und Integration eines Partikelfilters in ein bestehendes Multi-Sensor-System. Evaluierung und Vergleich des umgesetzten Verfahrens mit einem konventionellen Kalman Filter.
Supervisor:Rudi Lindl, Leo Walchshaeusl
Director:Gudrun Klinker
Student:
start-end: -
Erkennung von Verkehrsteilnehmern in Videobild und Radar (DA/MA/BA)

Die BMW Group Forschung und Technik GmbH bietet Ihnen ein spannendes Thema für Ihre Diplomarbeit im Bereich Projekte Connected Drive. Thema ist die Erkennung von Fußgängern und Zweiradfahrern durch bildgebende und entfernungsgebende Sensorik. Das Ziel der Arbeit ist es, geeignete Algorithmen zur Bildanalyse und zur Klassifikation zu recherchieren, prototypisch zu implementieren und zu vergleichen. Wesentliche Bestandteile der Arbeit sind: Die Recherche und prototypische Implementierung von zwei bildbasierten Verfahren zur Erkennung und Klassifikation von Fußgängern und Zweiradfahrern unter Berücksichtigung der radarbasierten Aufmerksamkeitssteuerung. Die Evaluierung und der Vergleich der umgesetzten Ansätze sowie die Integration in eine bestehende Live-Umgebung.
Supervisor:Leonhard Walchshäusl, Rudi Lindl
Director:Gudrun Klinker
Student:
start-end:ab 1.5.2007 -
Increasing Robustness of Real-Time Edge-Based Tracking (Master Thesis)

In this project, a real-time edge based visual tracking system is developed. It associates visible edge features of three-dimensional CAD model with the target object's representation on the two-dimensional image plane. Therefore a video stream is processed. Current algorithms make it possible to estimate a camera projection from the deviation between image and its projection. Lie groups and corresponding Lie algebra are used because of their efficient parameterization; and simple representation of the motion computations. A least-square approach estimates the projection between two consecutive video frames. Two standard outlier detection algorithms are used to robustify the system.
Supervisor:Benjamin Becker
Director:Gudrun Klinker
Student:Kenan Bektas
start-end:2007/08/15 - 2008/01/31
In-situ visualization of laparoscopic image data (Master Thesis)

The endoscope view is an important sight for the surgeon in a minimally invasive surgery. The endoscope display in a common operating room comparably far way from the operating site. In this thesis the possibilities of in situ visualization with an head mounted display (HMD) are going to be explored.
Supervisor:Tobias Sielhorst
Director:Prof. Nassir Navab
Student:Alfredo Higueras Esteban
start-end:2006/09/15 - 2007/03/15
Active Vision in Interactive Spaces (DA/MA/BA)

Supervisor:Daniel Pustka, Sergi Bermudez i Badia (UPF)
Director:Gudrun Klinker
Student:Henning Herbers
start-end:2007/08/15 - 2008/02/15
Error Classification for Electromagnetic Tracking (DA/MA/BA)

Supervisor:Joerg Traub, Marco Feuerstein
Director:Nassir Navab
Student:Julian Much
start-end:2007/05/15 - 2008/01/15
Online Error Correction for the Tracking of Laparoscopic Ultrasound (Diploma Thesis)

In abdominal surgery, laparoscopic ultrasound is widely used for minimally invasive procedures. Because of the missing visual feedback, it is often difficult for the surgeons to determine the flexible ultrasound transducer's pose, its position and orientation. Utilizing instrument tracking techniques for navigation and augmented visualization can therefore provide great benefits for minimally invasive procedures. Electromagnetical systems are the only currently available means to determine the pose of the transducer tip inside the patient. However, the electromagnetic field can be distorted in various ways, leading to erroneous measurements. Different error correction techniques have been developed, but their application to laparoscopic ultrasound is either difficult or they require an additional calibration procedure before each intervention. Additionally, no techniques have yet been proposed for the compensation of dynamic sources of error. In this thesis two new methods for online error detection and correction for the tracking of flexible laparoscopic ultrasound probes are presented. The first method is hybrid magneto-optic tracking of the ultrasound transducer shaft and electromagnetical tracking of the transducer tip. Deviations between optical and electromagnetical tracking of the transducer shaft are used to estimate the distortion of the electromagnetical field at the transducer tip. The second and more sophisticated method involves a mathematical model of the movements of the flexible transducer tip. All necessary parameters are computed offline in a distortion-free environment and remain valid until the sensors are repositioned. During an intervention the model is fitted to the measurements of the electromagnetical sensor at the transducer tip. Both methods were rigorously tested in experiments and comprehensively evaluated in comparison to related work. Our results are very promising and especially the model based approach improves the current state of art for both error detection and correction.
Supervisor:Marco Feuerstein, Joerg Traub
Director:Nassir Navab
Student:Tobias Reichl
start-end:2007/01/16 - 2007/07/16
Efficient Visualization of Lighting Simulation Data (Diploma Thesis)

Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Stanimir Arnaudov
start-end:2007/5/15 - 2007/11/15
Contactless control of a minimal invasive surgical robot system (Diploma Thesis)

Minimally invasive surgery is a special technique of surgery, in which robot systems can be used for assistance. As an example, the robot arms can be controlled via special input devices that are situated at a remote console. In this case, the surgeon is seated at the console and commands the desired poses to the robot system. Thus the robot arms accomplish the movements that are given by the surgeon. Such a robot system is developed at the Institute of Robotics and Mechatronics of the German Aerospace Center. Two different user interfaces are intended for this system. One solution is to use haptic input devices with force feedback to control the robot arms and to give feedback about occurring forces. The other solution doesn’t use haptic input devices and is therefore called contact less. In this case, occurring forces are visualized in the endoscopic video by using Augmented Reality techniques. Goal of this diploma thesis is to implement the control of the contact less user interface. Usual surgical grippers are used as input devices. The grippers are equipped with passive marker spheres of an optical tracking system to make the detection of the instrument’s movements possible. Pose and angle of the grippers are computed out of the tracking data. After some processing, the data is committed to the robot system.
Supervisor:Andreas Tobergte, Tobias Ortmaier
Director:Gudrun Klinker
Student:Miriam Wiegand
start-end:2007/05/15 - 2007/11/15
Three-Dimensional Ultrasound Mosaicing (Diploma Thesis)

The creation of 2D ultrasound mosaics is becoming a common clinical practice with a high clinical value. The next step coming along with the increasing availability of 2D array transducers is the creation of 3D mosaics. In the literature of ultrasound registration, the alignment of multiple images has not yet been addressed. Therefore, we propose registration strategies, which are able to cope with problems arising by multiple image alignment. We use pair-wise registration with a consecutive Lie normalization and simultaneous registration, which urges the usage of multivariate similarity measures. In this thesis, we propose alternative multivariate extensions based on a maximum likelihood framework. Due to the higher computational cost of simultaneous registration, we describe possibilities for speeding them up, among others, the usage of a stochastic pyramid. We also present methods to reduce speckle noise and to detect shadow in ultrasonographic volumes, to improve the overall registration performance. For the compounding of the final volume, a variety of approaches are listed, ranging from general to advanced ones. Experimental results, on multiple ultrasound data sets, show the good performance of the proposed registration strategies and similarity measures.
Supervisor:Wolfgang Wein
Director:Nassir Navab
Student:Christian Wachinger
start-end:2006/10/01 - 2007/03/30
Precise Distance and Position Determination of Objects in the Driving Environment with Stereo Vision for various Applications (Master Thesis)

Supervisor:Dr. Klaus Gresser (BMW); Antje Neve (BMW)
Director:Gudrun Klinker
Student:Benjamin Kormann
start-end:2007/04/15 - 2007/10/15
Deformable Registration Methods (Diploma Thesis)

This thesis implements a variational method for deformable registration and applies it to different medical problems. First we explore different approaches to the problem of deformable registration of medical images. After comparing feature-based and intensity-based approaches, we concentrate on the intensity-based variational method for deformable registration. The main reason are the inherent difficulties of the feature-based methods, i.e. feature extraction and feature-matching. The intensity-based variational method presents a general framework that can be adapted using a variety of similarity measures and regularization terms. This way, it can be adapted to a wide range of medical registration problems for different imaging modalities. We present an implementation using efficient numerical methods. Finally the implemented method is performed for different medical applications.
Supervisor:Wolfgang Wein
Director:Nassir Navab
Student:Darko Zikic
start-end:2005/06/15 - 2006/04/15
Identifizierung effizienter Nutzer von Augmented Reality Systemen (Master Thesis)

Diese Arbeit setzt eine exzellente Arbeit zur Evaluation verschiedener Möglichkeiten der Bereitstellung von Handlungsanweisungen fort. Dabei werden verschiedene Varianten von Displays (HMD, Hand-held Displays und Spatial Displays) und Darstellungen (1D/2D/3D) gegeneinander evaluiert. Bis jetzt existiert eine Testumgebung, mit welcher bereits intensive Benutzerstudien durchgeführt wurden.Diese Arbeit befasst sich mit Persönlichkeits- und Intelligenzmodellen, dem Alter, dem Geschlecht, der Bildung, dem räumlichen Vorstellungsvermögen und den dazu gehörigen Tests. Ferner wird der Zusammenhang zwischen diesen Tests und der Arbeit mit AR untersucht.
Supervisor:Björn Schwerdtfeger
Director:Gudrun Klinker
Student:Erwin Yükselgil
start-end:2007/03/15 - 2007/09/30
Automatic Feature Computation for Endoscopic Image Classification (Diploma Thesis)

This work addresses the recognition of phases in minimally invasive surgeries. These phases are sequential in time and should be recognized using observations which are acquired automatically. The endoscopic view of the surgeon provides information about the surgical field. This work focuses on the recognition of surgical phases using image features computed from these endoscopic images. It is a complex task to select efficient features and few literature exists about features that discriminate surgical phases in endoscopic views. In this work, a new Genetic Programming approach is proposed to automate the search for efficient features. A feature is modeled as a program and those programs are evolved to improve the recognition rate. For the representation of the programs a programming language was defined, specialized on computation of image features. Programs of this programming language are evaluated by executing them on a virtual machine with labeled sample images as input. Once the programs are evaluated and achieved a so called fitness the best programs are selected as parents for a slightly changed and probably improved new generation of programs. Finally, the resulting features are compared with several standard image features to show their performance in distinguishing between two phases using an image.With a selection of the best features a multi-class classifier is built. It is compared with an early approach which is based on a neural network fed with a set of standard image features.
Supervisor:Nicolas Padoy
Director:Nassir Navab
Student:Uli Klank
start-end:2006/11/15 - 2007/05/14
Fast and efficient error correction of electromagnetic tracking and its application in prostate cancer treatment (Diploma Thesis)

Electromagnetic tracking systems are very popular for medical applications because they are able to track flexible instruments inside the human body. Unfortunately electromagnetic tracking systems are very sensitive to distortion caused by ferromagnetive metal and electromagnetic fields in their range. When the sources of distortion cannot be removed from the setting because they are needed to perform a task; error correction algorithms can be used to compensate the distortions.
In this diploma thesis an improved method for error correction algorithm was implemented and tested. The errror correction method is based on a lookup-table containing correct positions of a magnetic sensor in an distorted setting and the corresponding distorted positions. The correct position of the sensor is acquired with the help of an optical tracking system and benefits from its high precision. The algorithm uses the lookup-table for online error correction of the position of the magnetic sensor in an distorted setting. An important requirement for this is the synchronization of the used magnetic and the optical tracking system.
The application was motivated by the medical domain of prostate cancer treatment. The current treatment is confronted with the problem of a prostate gland that moves slighly during radiotherapy. A magnetic sensor shall be used to track the position of the prostate gland and the cancer within. This diploma thesis provides an application that can be used for this purpose.
The results of my experiments are very promising. In every experimental setting the error correction method could improve the distortion of the tracking data. In the setting that was the most distorted by metal, the distortion could be reduced from 40.55 mm to 0.60 mm by the implemented method that is based on Hardy's multiquadric method.
Supervisor:Jörg Traub
Director:Nassir Navab
Student:Claudia Thormann
start-end:2006/06/15 - 2007/03/15
Augmented Reality in user interfaces for industrial robots (Diploma Thesis)

Teaching motion paths to a robot is a complex task. AR-based user interfaces have the potential of providing a more intuitive, direct way of teaching a robot arm where to go. This thesis will explore and prototypically implement various methods towards augmenting a teacher's view with motion path information. In particular, the thesis will focus on room-based or object-based, spatial display concepts (in contrast to head-mounted displays).
Supervisor:Wolfgang Vogl (iwb)
Director:Gudrun Klinker
Student:Ingo Kresse
start-end:2007/05/15 - 2007/07/16
Non-rigid Registration Using Free-form Deformations (Diploma Thesis)

Supervisor:Ali Khamene?, Darko Zikic
Director:Nassir Navab
Student:Loren Schwarz
start-end:2006/11/15 - 2007/05/15
Fiducial-Free Registration Procedure for Navigated Bronchoscopy (DA/MA/BA)

Supervisor:Joerg Traub
Director:Nassir Navab
Student:Tassilo Klein
start-end:2006/11/15 - 2007/05/15
Konzeption, Implementierung und Evaluierung einer Schattenmetapher für Fahrerinformationssysteme (DA/MA/BA)

Durch die beständige Zunahme der Funktionen zur Fahrerinformation (Navigation, Audio, Telefon Kalender,...) sind klassische Schalterkonzepte zur Bedienung dieser Funktionen nicht mehr praktikabel. Die Entwicklung geht immer mehr in die Richtung integrierter Anzeigebedienkonzepte, wobei die Funktionen in einem Display über ein Menü angeboten und mittels eines Controllers manipuliert werden. Erste Systeme, die bereits ihren Einsatz gefunden haben, ermöglichen zwar die Bedienung einer großen Anzahl von Informationen, überforden aber besonders technisch unerfahrene Benutzer während der Fahrt. Im Rahmen dieser Arbeit soll ein Konzept entwickelt werden, dass mithilfe einer Metapher die textbasierte, hierarchische Listendarstellung auflösen und ein benutzerzentriertes, stark reduziertes Menü anbieten soll. Über verschiedene Lichtschalter können zusätzliche Funktionen/Informationen in den Schatten dargestellt werden, die dem Benutzer eine individuelle und intuitive Bedienung des Systems ermöglichen. Die Konzeption beinhaltet eine Analyse artverwandter Displaysysteme (Handy, PC, PDA) um auslagerbare Funktionen zu identifizieren sowie eine prototypische, beispielhafte Umsetzung anhand des Audiomenüs. Eine abschliessende Evaluierung in Form einer Benutzerstudie in einem sogenannten Lane Change Test soll die Einsetzbarkeit und Praktikabilität des Konzepts überprüfen.
Supervisor:Verena Broy
Director:Gudrun Klinker
Student:Horst Süggel
start-end:2006/07/15 - 2007/02/15
Erweiterung der algebraischen Rekonstruktion auf der Grafikkarte (DA/MA/BA)

Supervisor:Prof. Dr. Tim Lüth, Ralf Tita, Andreas Keil
Director:Prof. Dr. Nassir Navab
Student:Wolfgang Holler
start-end:2006/02/15 - 2006/08/15
Image Deconvolution for Microscopy (DA/MA/BA)

Fill in abstract here
Supervisor:Thorsten Zerfaß (Fraunhofer IIS), Stephan Rupp (Fraunhofer IIS), Andreas Keil
Director:Prof. Dr. Nassir Navab
Student:Thomas Kasper
start-end:2006/04/15 - 2006/10/12
Anonymization (DA/MA/BA)

Supervisor:Main.AndreasKeil
Director:Main.NassirNavab
Student:Christoph Niedermayr
start-end:2006/08/01 - 2007/02/15
Integration and evaluation of light- and shadow metaphors for In-vehicle Information Systems (Diploma Thesis)

Supervisor:Verena Broy
Director:Gudrun Klinker
Student:Horst Süggel
start-end:2006/07/15 - 2007/01/15
Predicting the Accuracy of Optical Tracking Systems (Diploma Thesis)

There exist several optical tracking systems on the market that use infrared reflective balls as markert targets for six degree of freedom tracking. Examples are the dtrack system by A.R.T. and the optotrack or polaris system by Northern Digital. However, there is no possibility to estimate the quality of a specific marker configuration in advance only from the geometric layout of the marker balls.The goal of this project is to build a geometrical accuracy and reliability model for such marker configurations and then evaluate the model by empirical measurements.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Michael Schlegel
start-end:2005/12/15 - 2006/07/15
A Navigation Tool for the Endovascualar Treatment of Aortic Aneurysms - Computer Aided Implantation of a Stent Graft (Diploma Thesis)

More and more aneurysms of the thoracic and abdominal aorta are treated minimally-invasive by implanting a stent graft inside the aorta. However, without opening the patient the clinicians rely on imaging techniques, e.g. computed tomography, magnetic resonance imaging and X-ray, in order to visualize the region of interest and for intraoperative navigation. Unfortunately not all imaging modalities are available during operation, some are only available preoperatively. In 2003 the STENT project explored the prospects of using computer aided imaging techniques for preoperative planning and intraoperative navigation. Within the project a first prototype application was developed, but due to time constraints never made it to the operating room. This project is the continuation of the 2003's STENT project and its goal is to provide the clinicians with a preoperative planning tool and an intra-operative navigation and visualization tool. Preoperativly acquired computed tomography images can be used for segmentation, visualization and metric measurement of the aorta and aneurysm. Intra operatively taken X-ray images are aligned with the CT data, thus aiding navigation by supplying a three-dimensional visualization of an anatomical detailed model, metrics and current as well as planned locations of the stent graft.
Supervisor:Marco Feuerstein
Director:Nassir Navab
Student:Konstantinos Filippatos
start-end:2005/06/15 - 2006/02/15
Integration of a Component Based Driving Simulator and Experiments on Multimodal (= Haptical and Optical) Driver Assistance (Master Thesis)

Soon come
Supervisor:Marcus Tönnis , Christian Lange
Director:Gudrun Klinker , Heiner Bubb
Student:Darya Popiv
start-end:2006/08/15 - 2007/02/15
Towards Robust Markerless Tracking: Combining Feature-based and Intensity-based Approaches (Diploma Thesis)

There exist several approaches for markerless tracking, including feature-based and intensity-based ones. However not every approach works equally well for a given object. The goal of this work is to combine intensity-based and feature-based approaches in order to improve the robustness of the tracking.
Supervisor:Selim BenHimane
Director:Nassir Navab
Student:Alexander Ladikos
start-end:2006/05/15 - 2006/11/15
Recognition of dynamic gestures considering multimodal context information (Diploma Thesis)

Particularly in the automotive environment where standard input devices such as the mouse and keyboard are impractical, gesture recognition holds the promise of making man-machine interaction more natural, intuitive and safe [5]. But especially in a dynamic environment like the car, visionbased classification of gestures is a challenging problem. This thesis compares a probabilistic and a rulebased approach to classify 17 different hand gestures in an automotive environment and proposes new methods how to integrate external sensor information into the recognition process. In the first part of the thesis, different techniques in extracting the hand region out of the video stream are presented and compared with regard to robustness and performance. The second part of the thesis compares a HMM-based approach by Morguet [1] and a hierarchical approach by Mammen [2] to recognize gestures and the integration of external context knowledge into the classification process. The final system achieves person independent recognition rates of 86 percent in the desktop and 76 percent in the automotive environment.
Supervisor:Main.GudrunKlinker
Director:Main.GudrunKlinker
Student:Main.LeonhardWalchshaeusl
start-end:2004/06/15 - 2004/12/15
Benutzerorientierter Datenfilter für Umgebungsinformationen als Erweiterung eines Navigationssystems für sehbehinderte und blinde Mitmenschen (Diploma Thesis)

Supervisor:Martin Bauer, Martin Wagner
Director:Prof. Gudrun Klinker, Ph.D.
Student:Florian Reitmeir
start-end: - 2003/12/15
Design eines für Blinde und Sehbehinderte geeigneten Navigationssystems mit taktiler Ausgabe (Diploma Thesis)

Supervisor:Martin Bauer, Martin Wagner
Director:Prof. Gudrun Klinker, Ph.D.
Student:Günther Harrasser
start-end: - 2003/12/15
Experiments and Validation of a Three-Dimensional Accelerometer in a Belt Buckle, ActiBelt, for Continuous Multiple Sclerosis Patient Monitoring (Diploma Thesis)

This diploma thesis is a further step in the development of a gait analysis instrument by the Sylvia Lawry Centre for Multiple Sclerosis Research, usable for almost every kind of physical activity, a three-dimensional accelerometer in a belt buckle, the ActiBelt. The aim of this diploma thesis is to evaluate how much of the real trajectory is to be obtained by the acceleration data and to check if the device is usable for path length analysis. The data is therefore validated by a highly accurate trajectory tracking system for data correlation and comparison, as well as a lot of other reference systems. Algorithms for Hand-Eye Calibration, as well as Point-Based and Feature-Based Registration were used to transform the data. Feature-Based Registration with a mean-square error of 0.03m and a standard deviation of 0.01m was achieved and the path length of a non-circular movement could be obtained to 95% of the original length. Further ideas to use the ActiBelt for trajectory analysis, like in pedestrian navigation, are presented, along with the technical specifications and motion models that describe the human gait. Also several other applications of the ActiBelt are introduced, which range from diving deep under to moving in zero-gravity in space.
Supervisor:Joerg Traub
Director:Nassir Navab and Martin Daumer
Student:Thomas Gossner
start-end:2005/16/12 - 2006/16/12
Analyzing and Monitoring Tracking Accuracy of an A.R.T. System (Bachelor Thesis)

The aim of this bachelor thesis is to explore which criteria limit the precision of an infrared optical tracking system, and how a certain degree of precision can be guaranteed. Further- more a tool is developed that enhances an existing tracking system software with the capa- bility of setting and monitoring the tracking accuracy. The main task in the first half of this project is to find out which parameters determine and influence infrared optical tracking. After an intense brainstorming on parameters that are relevant for tracking accuracy, all these items are categorized and a preliminary estimation of the relevance of each of them is made. Next, some of these criteria are extensively assessed using the infrared tracking system of the chair this thesis is done at. Therefore procedures for measuring and evaluating scientific data have to be established first. For example, scripts and interfaces have to be created in order to establish data exchange between the tracking system and visualization tools. In the second half of this project it will be evaluated, if and how the knowledge and results of the previous study can be used for monitoring or optimization of tracking accuracy. To demonstrate this, a precision monitoring tool shall be developed for A.R.T. GmbH, manu- facturer of the before mentioned infrared optical tracking system.
Supervisor:Hesam Najafi
Director:Prof. Gudrun Klinker Ph.D.
Student:Christian Trübswetter
start-end: - 2003/10/15
Design of an Intra-Operative Augmented Reality Navigation Tool for Robotically Assisted Minimally Invasive Cardiovascular Surgery (Diploma Thesis)

Minimally invasive or totally endoscopic cardiac surgery is an operation technique in which physicians operate through small incision points at the cardiac region, in contrast to open chest surgery. A master-slave telemanipulator system, like the da Vinci, allows the insertion of very small instruments and imitates physicians’ hand and finger movements from their remote console. In order to perform a precise operation these incision points and their orientation need to be placed in such a way that there will be no conflicts. Thus, a planning tool in combination with intra-operative navigation support for the port placement is required. The intra-operative navigation is implemented in this work. Current scenarios lack the presentation of preoperative aquired image data, like computed tomography images. Thus, these image data has to be registered in three dimensions with the patient’s thorax. Augmented reality technology enables the projection of the previously planned optimal pose for the port placement on top of the view of the real world. The proposed application will provide physicians with a usefull visualization interface to see inside the patient. A registration procedure is required in order to perfectly align the modalities, both real and virtual, in the spatial domain. Therefore, a point based algorithm, on the basis of fiducials, is used to compute the transformation. Those external markers are placed on the patient’s skin and are visible in the computed tomography scan and in the tracking environment in the operating theater. The developed prototype superimposes the planned port data on top of a video frame of the real world after a perfect spatial registration. Additionally, a tool was implemented that shows the tracked telemanipulator arms during the entire operation in the virtual model of the patient.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Jörg Traub
start-end:2003/04/15 - 2003/11/15
Cartographic metaphor for interaction in an automotive environment (Master Thesis)

Der Umfang und die Komplexität digital gespeicherter Daten ist so groß geworden, dass viele innovative Interaktionssysteme konzipiert werden, um die Datan beherrschbar zu machen. Diese Arbeit entwickelt ein Anzeige-Bedien-Konzept für große Datenmengen mit bewährten Metaphern der Kartographie für den automobilen Einsatz. Die Visualisierung soll dem Fahrer einen umfassenden Überblick über Daten geben, so dass dieser mit wenigen Bedienschritten die gewünschte Information erhält. Die dafür entwickelte Metapher wird exemplarisch durch ein Interface zur Bedienung eines großen Musikarchivs prototypisch umgesetzt und durch Nutzertests evaluiert. Das Interface stellt die Musikstücke des Archivs auf einer Musiklandkarte nach Genres und Künstlern geordnet dar. Der Nutzer kann über einen BMW iDrive Controller die Karte beliebig skalieren und Ausschnitte wählen, um eine zufällige Playliste des gewählten Bereichs zu erzeugen und abzuspielen. Die Evaluierung zeigt, dass die kartographische Metapher gut verstanden wird und die Bedienung in den meisten Fällen signifikant schneller ist als bei einem listenbasierten Interface.
Supervisor:Verena Broy
Director:Gudrun Klinker
Student:Christopher Rölle
start-end:2006/05/15 - 2006/12/15
Towards Fusion of IVUS and OCT Images (Diploma Thesis)

Supervisor:Darko Zikic
Director:Nassir Navab
Student:Olivier Pauly
start-end:2006/06/15 - 2006/12/15
New Volume Rendering Techniques for Images Registration (Diploma Thesis)

Registering a medical data sets is a computationally demanding task. It comprises repeated generation of images from both data sets, which are compared iteratively with one another. 2D/3D registration as well as 3D/3D registration both basically involve a volume rendering of the medical data set(s). This process can be done more efficiently using texturing features available on DirectX 9.0 compliant graphics hardware such as NVidia Geforce FX or ATI Radeon 9800 boards. Rendering object-aligned slice using 2D textures and rendering view-aligned slices using a single 3D texture are already implemented. Texture color depth can either be 8 or 16 bit. The use of 16 bit and 32 bit floating point textures respectively is to be implemented soon. As well as storing the gradient information set along the intensity information of a medical data in a texture. Support for rendering into 16 or 32 bit floating point pixel buffers is also planned. Raycasting on the GPU and Hardware accelerated splatting for medical image registration is planned to be implemented further in development. All implementations will be done using OpenGL and the shader language "C for graphics".
Supervisor:Wolfgang Wein
Director:Prof. Dr. Nassir Navab
Student:Peter Luecke
start-end: -
Discrete Optimization and Uncertainty Estimation in Non-Rigid Image Registration (Diploma Thesis)

Non-rigid image registration is one of the most popular problems in computer vision. Many different approaches have been used to recover the transformation between two images. Continuous methods often compute this transformation through optimization of a cost function using standard optimization methods such as gradient descent. However, in the last years discrete optimization methods have become very popular. They turned out to be powerful optimization tools in a wide range of vision problems. The key contribution of this work is a general framework which bridges the gap between the continuous models used in deformable registration and discrete optimization algorithms. Additionally, we developed an optimization method based on the famous Alpha-Expansion which overcomes the compromise in standard discrete labeling problems between computational speed and accuracy. We implemented a multi-level approach which is fast and capable to compensate for large and very small deformations at the same time. Furthermore, we introduce uncertainty estimation for non-rigid image registration. We are able to provide local uncertainty information for the recovered transformation. This allows us to evaluate the registration results but also offers new ways of advanced visualization. We tested our algorithms on optical flow estimation and medical image registration.
Supervisor:Darko Zikic
Director:Nassir Navab and Nikos Paragios
Student:Ben Glocker
start-end:2006/06/15 - 2006/11/20
Infrastructure Independent Self-Positioning Using Projected Patterns in the Environment (DA/MA/BA)

Supervisor:Daniel Pustka
Director:Gudrun Klinker
Student:Moritz Koehler
start-end:2006/09/15 - 2006/11/15
Authoring of Augmented Reality based Maintenance Manuals (Diploma Thesis)

Supervisor:Daniel Pustka, Dr. Dieter Langer (EADS)
Director:Gudrun Klinker
Student:Dimitri Khanin
start-end:2006/05/15 - 2006/11/15
Ultrasound-based Measurement of Anatomical Structures (Diploma Thesis)

Medical navigation systems support the surgeon at the planning and execution of surgeries. In orthopedics three dimensional representations of the involved bones are provided by navigation systems. Preoperative data sets allow a precise planning of the surgical procedure. During the surgery the surgeon is guided by the navigation system. The navigation system is able to show the planning data according to the current position of the patient in the operating room. For this purpose a registration establishing a relation between the plan and the intraoperative situation is necessary. A development towards minimal invasive interventions can be observed in all areas of surgery. In general this means a minimization of cuts. At the same time, the access to relevant interior parts of the body is being reduced. To provide the surgeon with sufficient and precise information different solutions are developed depending on the respective application. In orthopedics notably the visualization and measurement of bony structures is important. For this purpose ultrasound (US) may be used as a non-invasive and almost harmless imaging modality. Ultrasound images may be acquired during surgery and provide useful information about the position and orientation of bones. At the start of the surgical procedure a registration between all involved data sets and tools is necessary. This thesis describes an workflow for the registration between ultrasound (US) and computed tomography (CT) data sets. Therefore a registration has to be found that produces the best correspondence between both data sets. Some approaches of other authors try to compare the voxel information directly. The approach of this thesis is the detection of bony structures in the data sets. Then, these structures can be matched. A basis for the registration is the accurate measurement of the bones. Therefore it is necessary to detect bony structures in a precise and reproducible fashion. The work starts with a systematic analysis of ultrasound images. A method for the preprocessing (artefact removal) of these images is tested. For the detection of bony structure a LiveWire-similar algorithm is developed. Another method will be described that is able to find the best position of a contour within an US image for a given preregistration. The mentioned algorithms are tested on several data sets of cadavers and a volunteer. Finally, the found structures will be matched with a surface model of the bone by an ICP algorithm to get a registration between US and CT data set.
Supervisor:Marco Feuerstein and Dr. Martin Haimerl (BrainLAB AG)
Director:Nassir Navab
Student:Jörg Jakobs
start-end:2005/11/01 - 2006/10/15
Navigated RF Ablation (Master Thesis)

Currently, RF ablation needles are used to treat tumors in every part of the body. In order to place the tip of the needle in the center of the lesion, US imaging is commonly used for guidance. In this case, the surgeon tries to visualize the tumor and the needle in the same US image. The needle however is not visible in the US image before insertion, making it difficult to imagine the tumor location relative to the needle tip and orientation. Additionally, the surgeon needs to precisely handle the US transducer and the needle at the same time.
The navigation system developed for this purpose as part of the CAMPAR framework helps to simplify the RF needle placement by dividing it into two simple consecutive tasks: lesion finding and needle placement. This way, the surgeon does not have to simultaneously hold the US probe and RF needle. Additionally, the needle can always be visualized relatively to the US plane.
Supervisor:Marco Feuerstein
Director:Nassir Navab
Student:Claudio Alcérreca
start-end:2006/07/01 - 2006/10/27
Entwicklung und prototypische Umsetzung eines Konzeptes zur Programmierung komplexer Roboterzellen durch 3-D-Interaktion in VR-Umgebungen (Diploma Thesis)

Supervisor:Michael Spitzweg und Ulrich Munzert, Fakultät für Maschinenwesen, IWB
Director:Gudrun Klinker
Student:Oskar Klett
start-end:2006/01/15 - 2006/07/15
Automatic Calibration of Tracked Catheter Ultrasound (Diploma Thesis)

Supervisor:Wolfgang Wein
Director:Nassir Navab
Student:Oliver Kutter
start-end:2006/02/15 - 2006/08/15
Error Correction for Electromagnetic Tracking (DA/MA/BA)

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Supervisor:Joerg Traub
Director:Nassir Navab
Student:Sukhbansbir Kaur
start-end:2005/12/01 - 2006/04/01
Attentive User Interfaces for DWARF (Diploma Thesis)

This diploma thesis covers the problems associated with the tracking of users’ attention during human computer interaction(HCI), and how the attention can be used to improve the HCI. A system to track, visualize and use attention as an input has been implemented. From the attention focus it can be understood what people do, how they interact with the system and which objects are currently of interest for them. We are going to use this information to simplify the human computer interaction. Nowadays, every user is surrounded by many devices (i.e. PC, cell phones, PDA’s, note book etc.), each of them requesting immediate user’s attention. This requests are often interfering with the current user’s task and result in an unwished interruption. The main problem lies in the user interfaces for these devices because they use the old WIMP (windows, icons, menus, pointers) paradigm, which has been developed 20 years ago. At that time, one user was interacting with at most one computer, and WIMP developers assumed, that the whole user’s attention is set to this one device. Presently, such behavior is often fatal, because users get bombarded by requests for attention from different devices. We use Attentive User Interfaces (AUI) to solve this problem by augmenting the devices with the capability to sense and reason about users’ attention. The viewing direction of humans tells a lot about their attention focus. This includes which person, device or task the user is paying attention to, the importance of that task, and how eyes are used to open communicational channels in interpersonal communications. Researches in the cognitive psychology showed that there is a close relation between the eye direction and attention focus. Therefore, we will use eye tracking in combination with headtracking to compute eye direction in the 3D space and use it as the input for AUI. Our main goal is to develop a working application to demonstrate the advantages of the AUI versus the WIMP paradigm.
Supervisor:Dipl.Inf. Christian Sandor
Director:Prof. Gudrun Klinker
Student:Vinko Novak
start-end: - 2004/06/14
Spatial Tracking of a Laparoscope Using an Inside-out Tracker (DA/MA/BA)

A laparoscope is a rigid endoscope that is used in minimally invasive surgery. Our current laparoscope augmentation system (see CARS and MICCAI 2005 papers) uses an external optical tracking system to estimate the pose of the laparoscopic camera. For augmented reality applications however it has been proven that inside-out tracking works more accurate in terms of accuracy of the image overlay. The current laparoscope augmentation system has to be extended by an optical camera, which estimates its pose using a visible pattern in the scene. The major task will be the implementation, testing, and evaluation of existing single camera pose estimation algorithms and integarte them into the current setup. The work requires implementations in C++. Matlab and Computer Vision knowledge will be of great benefit for this thesis.
Supervisor:Marco Feuerstein, Joerg Traub
Director:Nassir Navab
Student:
start-end: -
Reconstruction and Visualization of 3D Freehand Ultrasound (Diploma Thesis)

3D freehand ultrasound scans consist of a large number of position-encoded 2D slice images from the respective anatomy. One means to visualize them is to directly display the stack of slices using certain blending techniques e.g. with OpenGL?. On the other hand the data can be reconstructed into a volume with regular spacing, which in turn can be presented using Volume Rendering techniques. This so-called spatial compounding can be done using a variety of different approaches, some of which can improve the image quality or even eliminate deformation and errors in the original image data. In this Diplomarbeit, different existing and novel compounding methods are to be implemented and evaluated. In addition, other representations for better three-dimensional display of such data will be examined, especially with respect to a fused visualization involving Computed Tomography (CT) data of the same anatomy.
Supervisor:Wolfgang Wein
Director:Nassir Navab
Student:Fabian Pache
start-end:2005/07/15 - 2006/01/15
Optical See-Through HMD Calibration (Diploma Thesis)

Evaluation of the performance of different algorithms for optical see-through head mounted dispalys (HMDs) thatare known from the literature under the same conditions and using a large set of different HMDs. Goal of the project is to provide recommendations on which algorithm to use and propose extensions and improvements to the existing algorithms.
Supervisor:Martin Bauer
Director:Gudrun Klinker, Nassir Navab
Student:Sven Hennauer
start-end:2005/01/15 - 2005/07/15
Improving Augmented Reality Table Top Applications with Hybrid Tracking (Diploma Thesis)

Augmented Reality (AR) applications enrich the real world by augmenting virtual objects. In order to gaze this fusion of real environment and virtual content Augmented Reality setups utilize common graphical output hardware like Head Mounted Displays or Tablet PC and tracking technologies to estimate the position and orientation of tracking targets. Frequently used vision-based techniques like Natural Feature Tracking are error-prone to camera move- ments. Features have to be found in subsequent video frames again. Basic idea of this work is to adopt the search area for features to the change in orientation of the user interface hard- ware. This work is a first step to solve this problem for a special class of Augmented Reality applications, Table Top Augmented Reality. The work provides a hybrid tracking approach to bring tracking and the user ’s movement context together. Orientation information given by an additional tracker is used and applied for a dynamic configuration during runtime of the vision-based tracking routine, a texture tracking algorithm. To accomplish this a special software architecture is proposed. After we introduced the basic ideas of table top Augmented Reality we show the design, the execution and evaluation of a user study. Goal is to find an approximation for a linear mapping between user motion and search window of the texture tracking routine. Applying statistical techniques we will show that it is possible to derive such a mapping. This map- ping can be expressed by a simple linear function with the change of orientation as input parameter. We will also evaluate that the user behavior is related to the performed tasks. We will identify tasks for Table Top AR and discuss implications for the tracking routine.
Supervisor:Martin Wagner
Director:Gudrun Klinker
Student:Felix Löw
start-end: - 2005/05/15
Computer Supported Implantation of a Stent Graft (Diploma Thesis)

Keyhole surgery is becoming a standard method to treat patients at a minimally invasive level. Especially in the field of cardiac and vascular surgery these treatments are fancied throughout hospitals. However, in order to enable clinicians to operate without opening the patient, certain imaging techniques are necessary to visualize regions of interest. Many procedures have been developed for this purpose, ranging from X-raying to computed tomography or magnetic resonance scanning. A problem that is raised within this context is the availability of the information created by imaging techniques since some can just be performed preoperatively whereas others are executed during an operation. The goal of this project is to enable clinicians to access imaged and processed data acquired pre- or intraoperatively during treatment, i.e. merging all visual information about a patient in order to disburden physicians when operating. In particular, a stenting operation, where leaks in the aorta are fixed by injecting a cylindrical wired tube (stent graft) that is guided to the problem region through the aorta via a catheter will be augmented virtually. Preoperatively acquired computed tomography images can be processed with the proposed system and the outcome will be visualized in the operation theatre. Moreover, intraoperative X-ray images are aligned with the CT data and hence navigational information is produced including a three-dimensional surface model, metrics, and current as well as planned locations of the stent graft. This shall help to avoid too much X-ray exposure as well as reduce damaging contrast injections and operation time.
Supervisor:Martin Bauer
Director:Prof. Gudrun Klinker Ph.D.
Student:Martin Groher
start-end: - 2003/12/23
Automated Registration in Endoscopic Treatment of Aortic Aneurisms (Diploma Thesis)

In the last years, minimally invasive surgery techniques found their way into the operating theater. One very promising application is endovascular stent grafting for aortic aneurysms or dissections. At present, the three-dimensional CTA (Computed Tomography Angiography) model is only used for preoperative planning but is not available during operation. This situation is unsatisfactory for CTA provides by far more anatomical information than the two-dimensional intraoperative fluoroscopic images taken by a C-arm. Our goal is to close this gap by a Computer Aided Navigation and Planning Tool (CANP). CTA data is to be visualized intuitively for planning the correct position of the stent and its properties. During operation itself, CTA serves as basis for augmentation with intraoperative data acquired by the C-arm. By this means, we hope that radiation exposure for both, surgeon and patient, as well as usage of contrast agent, can be reduced. This thesis deals with mathematical challenges arising in this context. Before three-dimensional CTA and two-dimensional fluoroscopic images can be merged in one model, the two modalities have to be registered. For this purpose, the perspective geometry of the C-arm was determined by a calibration. Artificial X-ray images computed from CTA, so-called DRRs (Digitally Reconstructed Radiographs) are then to be overlaid with intraoperative radiographs. An efficient volume rendering technique based on 3D texture-mapping is proposed for this computationally expensive task. The pose of the CTA model is altered within a virtual C-arm setup by rigid transformations (rotations and translations). When DRR and radiograph coincide, the patient is registered to his CTA model and information can be exchanged between both modalities. Iterative best neighbor optimization techniques for an automatic registration procedure were evaluated. The similarity between DRR and radiograph is estimated by pattern intensity and gradient difference quality measures. This combination yields promising registration results in affordable time, though differences between both modalities, especially the influence of contrast agent and other instruments, have to be decreased in the future in order to achieve a really robust registration. Furthermore, different direct and indirect volume rendering techniques were evaluated with respect to their suitability for a fast as well as intuitive visualization of the augmented model.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Peter Keitler
start-end:2003/04/15 - 2003/12/23
Automatic workflow retrieval in surgery (Bachelor Thesis)

In a previous paper by Sielhorst/Blum/Navab, a surgeon’s hand movement was captured over time and in three dimensions. Several methods were compared of how to synchronize the resulting 3D trajectories over time. With the help of the most promising algorithm called "Dynamic Time Warping" the operating procedures of different surgeons could be compared in an objective manner.
In this thesis, the existing approach using DTW will be expanded in order to automatically retrieve the workflow of a whole surgical procedure. The underlying surgery, a laparoscopic cholecystectomy, is a standard procedure with a distinct and systematic sequence of events. Nevertheless, time and workflow variations occur due to the surgeon’s experience and anatomic conditions of the patient. The goal of this work is to create a system which synchronizes the data recorded from multiple operations. With the help of this, the system then should try to identify key events in the workflow of the operations. In order to achieve this, a set of video and audio signals will be recorded during multiple operations. The synchronization will be performed using a signal telling which laparoscopic instrument is in use at every moment during the operation. Another challenge is to synchronize several operations, since the DTW so far only allows for the synchronization of two signals at a time.
Training systems, surgeon assistance, workflow optimization inside the OR and an "intelligent" OR are possible scenarios of a successful outcome of this project.
Supervisor:Tobias Sielhorst Martin Horn
Director:Nassir Navab
Student:Ahmad Ahmadi / Ralf Stauder
start-end:2005/08/01 - 2005/10/31
Spatial Context Management for Augmented Reality Applications (DA/MA/BA)

The thesis describes the development of the Spatial Context Ontology Reasoning Environment (SCORE), that supports the management of explicit and implicit spatial context for Augmented Reality applications.

Augmented Reality (AR) forms the link between reality and Virtual Reality by augmenting the user's environment with virtual objects and information, that can be interacted with. Here in general head-mounted displays are used to present the augmented view to the user.

This research field is investigated at the chair for Computer Aided Medical Procedures and Augmented Reality at the Technische Universität München. Among many other things it covers new user interaction paradigms, sensor analysis and the access to structured information in intelligent environments. A common claim to Augmented Reality systems is not to restrict the users' scope of motion. For supporting mobility the DWARF framework is frequently employed. It represents a distributed AR framework providing ad hoc interoperability of services, that self-assemble into AR systems.

AR applications must efficiently handle spatial information of real and virtual objects in order to provide a “natural” feeling of the augmented world to the user. In addition to the mere location-awareness they involve situational aspects that are related to the user more and more. As a matter of fact the management of spatial context increasingly gains importance to applications in AR.

This thesis presents a service-oriented framework that is aimed at facilitating the integration of these aspects. It follows a novel approach in spatial context management, that incorporates traditional coordinate-based context models and contextual ontologies that are well-known from research efforts with respect to the Semantic Web. Thus efficiency is combined with a declarative knowledge representation enabling knowledge sharing and reuse.
Besides the explanation and discussion of the general research topics, the work is based on, the thesis presents a first application using the presented framework. It is a proactive safety system for vehicles, and is part of an interdisciplinary research project for user-centered driver assistance, that is supported by techniques of Augmented Reality.
Supervisor:Marcus Tönnis
Director:Prof. Gudrun Klinker
Student:Jan-Gregor Fischer
start-end:2004/10/15 - 2005/05/15
Interaktiver elektronischer Leitstand zur Disposition von Fertigungsaufträgen (Diploma Thesis)

Supervisor:Marcus Tönnis
Director:Gudrun Klinker
Student:Steven Pessall
start-end:2005/05/15 - 2005/11/15
Hepatic Vessel Extraction for 2D/3D Registration (DA/MA/BA)

Supervisor:Martin Groher
Director:Nassir Navab
Student:Nicolas Padoy
start-end:2005/04/15 - 2005/09/15
Entwurf und Integration eines kamerabasierten Trackingsystems für ein Flugzeugcockpit (Diploma Thesis)

In light of the continuously increasing air traffic during the last decades, technical aids needed to support the pilot in navigation and flying has be- come more critical than ever to assure a flawless and safe flight. Primarily, this support is given to the pilot by a graphical presentation of sensor data to depict the actual flight condition (situational awareness). In this concern, visual displays have a crucial role to play nowadays. But the trend leads away from monitors on the centerpannel and head up displays to integra- ted head-mounted devices, which increase the pilot’s freedom of movement. But most of the devices used today are proprietary solutions, with many of them being based on electromagnetical tracking. In the application field of augmented reality, we encounter many of the same questions, but most of them in a more general context. Camera-based optical tracking is frequently applied in this field, due to some ma jor advantages over other tracking me- thods. The obvious drawbacks of optical tracking, such as highly complex and time-consuming image processing, may be compensated soon with the ongoing development of faster CPUs2 and GPUs3 . Moreover, by reducing a „one-fits-all“ solution to a problem-customized approach, several known problems of optical tracking can be avoided or at least reduced. The goal of this thesis is to design a tracking system for the LFM’s4 flight research simulator by using existing techniques from the research field of augmented reality. The approach described here adapts solutions from existing systems to the special requirements of the cockpit environment, which leads in se- veral aspects to constraints that need to be intentionally taken advantage of whenever possible. Otherwise, the cockpit environment introduces several limitations which inhibit the application of existing solutions without modi- fication. Hence, a camera-based optical tracking approach was chosen, based on acitvely emitting fiducials in the infrared spectrum. The requirements of a platform-independent implementation as well as the future option to migrate the system to other cockpit types were complied with as much as possible throughout. Even though the requirements for an approval by federal flight authorities could not be taken into account, the system was nevertheless in- tentionally designed beyond the exclusive use in the flight simulator, which is reflected particularly in the fiducial design, by assuming a wide range of lighting conditions in the cockpit. The results presented in this thesis may serve the reader as support in choosing a tracking system tailored to a spe- cific problem, and showing some difficulties and possible approaches to their solution.
Supervisor:Martin Wagner, Hesam Najafi , Martin Bauer
Director:Gudrun Klinker
Student:Franz Mader
start-end:2004/01/15 - 2004/07/15
Analysis of Conceptual Differences and Similarities Concerning the Interaction with Physical and Digital Objects in Augmented Reality (Master Thesis)

The aim of this Master's Thesis is to find out to what extent physical objects in our real world differ from digital objects that are created by a computer. These differences create barriers between the digital and the physical world. The field of augmented reality, in which the physical world is enhanced with digital elements, must cope with the imposed barriers. This work tries to systematically find and explain the inherent characteristics of both physical and digital objects. There will be a analysis on which characteristics exist in both worlds and which ones are more closely related to one world. Ways are shown how to simulate or replace the exclusive characteristics in the opposite worlds. It will be pointed out how digital and physical objects can be interconnected with each other in order to form mixed objects. Furthermore, some examples will be given how collaborative work can benefit from mixed objects. Finally, an exemplary augmented reality application will be designed which makes use of the gained insights.
Supervisor:Gudrun Klinker, Verena Broy
Director:Gudrun Klinker
Student:Christian Trübswetter
start-end:2005/02/15 - 2005/08/16
User Interface for Medical Augmented Reality (Diploma Thesis)

Augmented Reality is an emerging technology with promising applications in the medical domain, e.g. medical education or intra-operative assistance. The latter offers an enhanced view for keyhole surgery providing the physician with information in a more intuitive way. To use Augmented Reality for intra-operative surgery assistance a special User Interface is necessary. The traditional Human-Computer Interaction tools like mouse and keyboard are not suitable for surgery environments, because special restrictions must be considered. Besides of sterile equipment, no discharged air is allowed in an operation room and tracking systems in combination with possibly used CT or MRT may cause electromagnetic interference. Furthermore the system should not constrain the physician during his work, but assist him to make his work more comfortable. Several research groups already worked and still work on this subject, so the first step of the thesis is to analyse published work and to carry together their advantages and disadvantages. Therefor not only medical User Interfaces but also Virtual Reality systems are considered.
In the end this thesis should give a possible solution for a specific medical attendance in cooperation and arrangement with the respective physicians.
Supervisor:Tobias Sielhorst
Director:Nassir Navab
Student:Marion Gantner
start-end: - 2005/07/31
Optical and Magnetic Tracking (Diploma Thesis)

The aim of this diploma thesis is a fusion of optical and electromagnetic tracking systems with the motivation of improving guidence techniques for minimal inversive surgery. I will combine different tracking systems with different properties like accuracy and availability. The intuitive solution for fusion of two systems would be using the more accurate one if available and switch to the second one when the data of the more accurate are not available. Within this work I will try to get an even better result by statistically combining the two systems with help of several (federated) Kalman Filters.
Supervisor:Martin Bauer, Joerg Traub
Director:Gudrun Klinker
Student:Sintje Göritz
start-end: - 2005/08/15
Entwicklung eines inverskinematischen infrarot-optischen Datenhandschuhs (Diploma Thesis)

Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Gerrit Hillebrand
start-end: - 2005/08/15
Interaction Management for Adaptive Augmented Reality User Interfaces (DA/MA/BA)

We think that experiments with such user interfaces have to be conducted to find appropriate interaction techniques, metaphors and idioms. In this paper we propose a method for interaction management consisting of flexible integration of I/O devices at runtime and dataflow control. Our approach can be used to develop and control such user interfaces, which lets us try out new concepts quickly.
Supervisor:Christian Sandor
Director:Gudrun Klinker
Student:Otmar Hilliges
start-end:2003/12/15 - 2004/05/14
Importance of Gaze Awareness in Augmented Reality Tele Conferncing (DA/MA/BA)

In this thesis I describe a new approach to maintain gaze awareness between users and on a shared workspace, that means every user knows about the gaze direction and the point the other participants are looking at.
Supervisor:Martin Wagner
Director:Gudrun Klinker
Student:Main.MichaelSiggelkow
start-end:2004/12/15 - 2005/05/11
Analysing the Accuracy of the Fluoroscopic Navigation and Image Registration in an established Medical Software Application (Diploma Thesis)

in collaboration with BrainLAB
The thesis deals with the analysis of the accuracies in the process of fluoroscopic navigation and image registration in the field of orthopaedic software, and shall give starting points and possible solutions to contribute to the refinement of said accuracies.
Supervisor:Joerg Traub and Dr. Manfred Weiser (BrainLAB AG)
Director:Nassir Navab
Student:Matthias Assel
start-end:2005/01/15 - 2005/06/15
Design of a Planning Tool for Port Placement in Robotically Assisted Minimally Invasive Cardiovascular Surgery (Diploma Thesis)

In minimally invasive cardiovascular surgery only small incisions are used to perform an operation. A split of the breastbone or the use of the straining heart-lung machine can be avoided, resulting in less surgical complications than traditional invasive surgery. A reasonable realization of these operations was facilitated by master-slave systems for teleoperations. Whereas the surgeon is controlling the teleoperator sitting at a master console, the arms of the slave robot are able to imitate the surgeon's actions on the patient. For a successful teleoperator based intervention it is crucial to find the optimal locations, also referred to as ports, for the incision sites of the teleoperator arms. Traditionally, planning the port placement was dependant on the surgeon's experience in interpreting previously acquired two-dimensional image stacks such as computed tomography slices. This work introduces a planning tool for port placement that is supporting the surgeon to segment cross-sectional axial slices acquired by imaging modalities, reconstruct a three-dimensional model of the patient from these slices, and simulating the cardiovascular intervention in a virtual environment. For the virtual simulation of an intervention, the teleoperator arms can be interactively placed and moved within the patient's model in such a way that they neither intersect each other nor vitals and bones. Therefore, the planning tool's graphical user interface provides various visualization, planning, and validation options. Collision detection techniques and a virtual endoscope view support the verification of the port placement process. All planned data can be exported to an intra-operative navigation tool.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Marco Feuerstein
start-end:2003/04/15 - 2003/12/23
Real-time Computation of Depth Maps with an Application to Occlusion Handling in Augmented Reality (DA/MA/BA)

An occasional problem encountered in state of the art Augmented Reality (AR) system is the problem of occlusions. Occlusion refers in this case to the problem of artificial images not being properly aligned in world space. To be more explicit they are missing a depth component and thus it may happen that artificial images are spuriously superimposed above real objects. This problem leads to the intend to find ways of detecting and handling occlusions. Most approaches in that direction are based on recovering depth information by means of stereo correspondence techniques. These techniques require an AR environment with two calibrated cameras mounted on a rugged stereo rig. In the AR domain this is usually a head mounted display, including two cameras, two displays (video see through, optical see through) and a tracking device.
The main goal of this work was to evaluate different techniques for recovering depth maps. These techniques were evaluated in terms of accuracy, noise resistance, reproducibility and speed. Finally the task was to implement the most suitable one.
Supervisor:Tobias Sielhorst, Joerg Traub
Director:Nassir Navab
Student:Hauke Heibel
start-end:2004/04/15 - 2004/10/15
Bootstrapping of Sensor Networks in Ubiquitous Tracking Environments (Diploma Thesis)

Augmented Reality (AR) applications fuse the real and the virtual world together. Tracking of real objects is a major part of any AR application because it must know their spatial relationships to interact with the user. Ubiquitous Computing applications try to integrate intelligent devices into the environment. By combining concepts of Ubiquitous Computing and Augmented Reality, tracking technologies can be dynamically integrated in new applications. Ubiquitous Tracking aggregates different trackers into one sensor network where all different types of mobile and stationary sensors contribute to the whole system. This thesis deals with the integration of mobile tracking set-ups (clients) into stationary or mobile ones. The client itself does not have any initial knowledge of its ambient infrastructure. The focus of this thesis is to find a conceptual component-based model for dynamically integrating the mobile clients into large-scale sensor networks. In order to accomplish this in a scalable way, the network has to be divided into smaller, self-manageable parts, e.g. by introducing a hierarchical location context. I analyze the requirements for a Ubiquitous Tracking system and give a complete overview over all possible scenarios where two separated systems get connected at runtime. The assumption is that at least one of them is a mobile set-up which has no initial knowledge of the other. By exchanging configuration, information the two systems can (re-)configure their hardware equipment to enable the tracking of each other. If this information does not describe the whole sensor network completely, the sensors can merely track unknown objects. One of the major issues is to recognize and identify these unknown objects by their own motion patterns. By investigating the speed and angular velocity of two objects from two different trackers, static relationships between them can be discovered without an actual measurement of a sensor. The main idea is to find correlation by analyzing the frequencies of those two values. I present results of the investigation of different tracking technologies, such as the ART tracking system, ARToolKit? and Intersense. They show how far these sensors are suitable for the frequency analysis.
Supervisor:Martin Bauer, Martin Wagner, Asa MacWilliams
Director:Gudrun Klinker
Student:Franz Strasser
start-end: - 2004/07/15
[[Students.DaSiggelkowFormerWork][]] ()

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Construction of Decentralized Data Flow Graphs in Ubiquitous Tracking Environments (Diploma Thesis)

Augmented Reality (AR) is a form of interaction with computers by augmenting objects of the real world with virtual representations of otherwise invisible information. For a precise augmentation of the user s view of the real world with virtual objects, an up-todate spatial model of the user s environment is essential. Classic AR applications are limited in their range by the scope and the diverse properties of commonly used sensors for tracking. To obtain such a spatial model in large-scale Ubiquitous Computing environments, for which Augemented Reality is a natural interface, different tracking technologies have to be combined transparently. The concept of Ubiquitous Tracking leads to such a dynamically configurable sensor network providing positional information. An abstraction of the underlying tracking infrastructure is obtained and a uniform query mechanism for spatial information is offered to AR applications. The spatial model of the environment can be represented by a graph structure. On basis of this high-level description of available measured spatial relationships, information about geometric relationships can be inferred between arbitrary objects, whilst the actual computation of the positional information is provided by a network of interdependent software components. The concept of Ubiquitous Tracking is introduced to DWARF, a component-based framework to form highly distributed AR systems. This thesis deals the aggregation of positional information in a distributed AR system built on DWARF. A new middleware component is introduced to DWARF concerning the distributed representation of spatial information. It provides flexible integration mobile clients participating in the AR system. Positional information requested by applications is aggregated on basis of a distributed represenation of available spatial relationships. The actual computation of this information is invoked by configuration of according software components.
Supervisor:Martin Bauer, Asa MacWilliams, Martin Wagner
Director:Gudrun Klinker
Student:Dagmer Beyer
start-end:2004/01/15 - 2004/07/15
Calibration of Virtual Cameras for Augmented Reality (Diploma Thesis)

In this thesis different calibration techniques for AugmentedReality applications are evaluated. Hence techniques for spatial registration of visual output devices, the tracking system, and tracked objects are considered. This work focuses on the calibration of output devices. An AugmentedReality system should be designed as a dynamically configurable system i.e. a system which is able to connect new objects such as output devices on demand. Thus new user friendly methods need to be developed to achieve satisfiable calibration results instantly in an intuitive way. In this thesis, methods allowing any user without knowledge about calibration procedures to perform the calibration task without imposing a great burden on him or her have been evaluated and integrated. I developed a calibration component integrated in the DWARF framework and demonstrated it within the ProjectArchie. The ProjectArchie project's goal was to evaluate the possibilities of AugmentedReality for architectural planning. The resulting calibration method provides a recalibration possibility for the output devices of multiple users for any application based on DWARF.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Bernhard Zaun
start-end:2003/01/15 - 2003/07/15
Data Management for Augmented Reality Applications (Diploma Thesis)

A critical issue of AugmentedReality applications is the large quantity of data, which must be managed in a distributed system. This data must be reliably delivered to services that provide user access on that data. The handled data must be in a consistent state allover the system. Database systems can be used for parts of the management of data to guarantee persistence and efficient handling. This thesis deals with data management for distributed AugmentedReality systems. The main contribution of this thesis is a novel approach of dynamic services, that give the user transparent access to all necessary data. The developed design has prototypically been implemented and tested within the ProjectArchie application. ProjectArchie states a project to support architectural modeling by AugmentedReality. By further development a set of general usable services can be realized that allows to use AugmentedReality in new areas.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Marcus Tönnis
start-end:2003/01/15 - 2003/07/15
Handling Error in Ubiquitous Tracking Setups (Diploma Thesis)

In order to allow automatic conversions between different coordinate systems, the product of multiple tracker measurements can be computed. In heterogeneous tracking setups however, measurements by different sensors generally are not made simultaneously and therefore require pre-processing before such a combination is possible
Supervisor:Martin Bauer, Asa MacWilliams, Martin Wagner
Director:Gudrun Klinker
Student:Daniel Pustka
start-end: - 2004/08/15
Tracking Scissors using reflective Lines (Diploma Thesis)

Tracking plays an important role in Augmented Reality (AR) applications. In medical augmented reality tracking systems must allow to accurately determine the position of medical instruments without influencing or disturbing the surgeons working environment. Retro-reflective material combined with infrared light presents an interesting and promising method of optical tracking. This thesis analyzes the special case of tracking medical scissors using retro-reflective lines. The particular structure of this instrument permits its identification in an image only through the position of the two legs. During this project the whole process of image generation line detection camera calibration and 3D reconstruction via line triangulation was examined. The used methods problems and undertaken optimizations are presented here. Furthermore some ideas for the part of tracking the instrument over a series of images are briefly discussed.
Supervisor:Martin Bauer
Director:Gudrun Klinker
Student:Katharina Pentenrieder
start-end: - 2005/01/15
[[Students.DaKrause][]] ()

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[[Students.DaKulas][]] (DA)

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Finished Theses

$IF( $EXACT(finished,finished) ,
  • Skeleton Animation for an Augmented Reality Magic Mirror by
    (Finished: Sabahattin Giritli, Supervisor: Ma Meng, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Interventional Retina Tracking by Aleksander Djurka
    (Finished: Mar. 2013, Supervisor: Mehmet Yigitsoy, Dr. Abouzar Eslami, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Hough-based Similarity Measures in Intensity-based Image Registration by Javad Fotouhi
    (Finished: Jun. 2014, Supervisor: Mehmet Yigitsoy, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • High Dimensional Regression Using Deep Neural Networks by Iro Laina
    (Finished: Feb 15, 2016, Supervisor: Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Deformable Human Shape matching via Volumetric representation by Bibiana do Canto Angonese
    (Finished: 31.10.2014, Supervisor: Chun-Hao Paul Huang, Dr. Slobodan Ilic, Dr. Federico Tombari, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Investigation and Implementation of Lightfield Forward Models by Josue Page
    (Finished: 2017/12/15, Supervisor: Anca Stefanoiu, Director: Tobias Lasser), ) $IF( $EXACT(running,finished) ,
  • Meta-Learning of Regularization Parameters in X-ray Computed Tomography by Stefan Haninger
    (Finished: 2017/09/15, Supervisor: Shadi Albarqouni, Director: Tobias Lasser), ) $IF( $EXACT(running,finished) ,
  • Regularization of Structures in Anisotropic X-ray Dark-field Tomography by Maximilian Hornung
    (Finished: 2017/09/15, Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(running,finished) ,
  • Implementation of efficient computational modules for forward- and backward-projection in X-ray computed tomography by David Frank
    (Finished: 2017/07/01, Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(finished,finished) ,
  • Statistical Reconstruction Methods for Anisotropic X-ray Dark-field Tomography by Nathanael Schilling
    (Finished: 2017/02/15, Supervisor: Matthias Wieczorek; Tobias Lasser, Director: Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Efficient GPU Projectors for X-ray Computed Tomography by Michal Szymczak
    (Finished: 2016/12/18, Supervisor: Tobias Lasser, Matthias Wieczorek, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • In vivo micro-CT imaging for the non-invasive assessment of tumor mouse models in preclinical anticancer drug research by Kristina Erhard
    (Finished: 2016/10/15, Supervisor: Tobias Lasser, Thomas Pöschinger, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Efficient Parallel Projectors for X-ray Computed Tomography by Erdal Pekel
    (Finished: 2016/09/15, Supervisor: Tobias Lasser, Director: Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Reconstruction of sparsely sampled X-ray Computed Tomography data using dictionary learning by David Frank
    (Finished: 2016/09/15, Supervisor: Tobias Lasser, Director: Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Regularization of spherical harmonics for Anisotropic X-ray Dark-field Tomography by Maximilian Endrass
    (Finished: 2016/09/15, Supervisor: Matthias Wieczorek, Tobias Lasser, Director: Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Implementation and evaluation of splitting methods for reconstruction of X-ray Computed Tomography by Johann Frei
    (Finished: 2016/09/15, Supervisor: Tobias Lasser, Matthias Wieczorek, Director: Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Implementation and evaluation of iterative solving methods for X-ray Computed Tomography by Theodor Cheslerean Boghiu
    (Finished: 2016/08/15, Supervisor: Tobias Lasser, Director: Bjoern Menze), ) $IF( $EXACT(running,finished) ,
  • Data-Mining and Survival Analysis using Electronic Health Records by
    (Finished: 2015/11/30, Supervisor: Sebastian Pölsterl, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Learning-based Surgical Workflow Detection from Intra-Operative Signals by Ergün Kayis
    (Finished: 2015/02/15, Supervisor: Ralf Stauder, Aslı Okur, and Loïc Peter, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Dynamic User Interface Generation for Workflow-Sensitive Medical Displays by Mirije Shefiti
    (Finished: 2015-02-15, Supervisor: Ralf Stauder, Alexandru Duliu, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Machine Learning for Automatic Tissue Characterization in Intra-Vascular Optical Coherence Tomography Images by Ignacio Sarasúa
    (Finished: 2014/12/15, Supervisor: Sebastian Pölsterl, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Classification of AR Presentation Principles: Trends and Gaps in AR by Monika Nill
    (Finished: 2014/10/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • A Web based Photogrammetric Camera Calibration Toolbox by Benjamin Schagerl
    (Finished: 2014/08/15, Supervisor: Dr. Manuel Huber , Frieder Pankratz and Christian Waechter, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • CT Reconstruction with Object Specific Non-Standard Trajectories by Andreas Fischer
    (Finished: 2014/07/15, Supervisor: Peter Noel, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Iterative Iodine Detection and Enhancement Algorithm for Dual-Energy CT by Faegheh Nazari
    (Finished: 2014/06/15, Supervisor: Peter Noel, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Radiation Dose Reduction for Trabecular Bone Structure Analysis in Osteoporosis Diagnostics by Using Iterative Reconstruction by Felix Kopp
    (Finished: 2014/05/15, Supervisor: Peter Noel, Thomas Baum, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Gestyboard Backtouch 2.0: Weiterführung eines bestehenden Texteingabekonzeptes auf der Rückseite eines Android Tablet PCs by Christoph Bruns
    (Finished: 2014/03/15, Supervisor: Tayfur Coskun, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Below The Surface Exploration by Sandro Weber
    (Finished: 2014/02/17, Supervisor: AmalBenzina and Marc Treib, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • F the FRAVE by Evgeny Ilyushkin
    (Finished: 2013/12/31, Supervisor: Amal Benzina, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • A General Reconstruction Framework for Constrained Optimisation Problems in Hyperpolarised 13C Metabolic MR Imaging. by Elena Nasonova
    (Finished: 2013/11/01, Supervisor: Prof. Dr. Michael Friebe, Prof. Dr. Axel Haase, Advisor: Dipl.-Phys. Markus Durst, Dr. Rolf F. Schulte, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Fast image fusion on foveated images by Janosch Peters
    (Finished: 2013/08/15, Supervisor: Patrick Maier, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Statistical Iterative Reconstruction for Reduction of Artifacts using Spectral X-ray Information by Kai Mei
    (Finished: 2013/05/15, Supervisor: Peter Noel, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Implementation and Evaluation of Motion-Based Input for a Volleyball Game by Johannes Schmidt
    (Finished: 2012/12/15, Supervisor: Andreas Dippon, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Touch Floor by Rolf Sotzek
    (Finished: 2012/12/15, Supervisor: Amal Benzina and Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Modellierung der Gruppendynamik bei dem Einsatz von vorausschauender Fahrerassistenz by Claudio Gusmini
    (Finished: 2012/12/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Fog of Triage by Sebastian Klingenbeck
    (Finished: 2012/11/15, Supervisor: Tayfur Coskun, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Animation von typischen Abläufen von Situationen in einem MANV in digitaler Kartendarstellung und darauf basierende Anforderungsanalyse mit dem ASB by Teodora Velikova
    (Finished: 2012/11/15, Supervisor: Tayfur Coskun, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Gestyboard 3.0: Weiterführung und Evaluiierung einer innovativen Texteingabe Technik by Thomas Faltermeier
    (Finished: 2012/11/15, Supervisor: Tayfur Coskun], Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Multitouch Keyboard Kinect basiert by Johannes Roith
    (Finished: 2012/11/15, Supervisor: Tayfur Coskun; Andreas Dippon; Eva Artinger, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Comparative Study of Path Variants for implicit Guidance in a simulated 3D Environment by Manuel Wolf
    (Finished: 2012/11/15, Supervisor: Marcus Tönnis and Amal Benzina, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Laparoscopic Freehand SPECT by Ayah Haidar
    (Finished: 2012/10/15, Supervisor: Tobias Lasser, Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Die Klassifizierung und Analyse von Darstellungsprinzipien in AR-Anwendungen by Ulrich von Waldow
    (Finished: 2012/09/25, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Follow The Magic Lense by Alba Huelves
    (Finished: 2012/08/15, Supervisor: Amal Benzina and Marcus Toennis, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Motivationsanalyse des Designs eines On-Board Systems zum Training für Ökologisches LKW-Fahren by Thiemo Taube
    (Finished: 2012/08/01, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • System Architecture and Demonstration System for Robotic Natural Orifice Transluminal Endoscopic Surgery by Risto Kojcev
    (Finished: 2012/07/18, Supervisor: Kevin Cleary, PhD, Kevin Gary, PhD, Tobias Reichl, Ali Bigdelou, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Investigating Haptic Interfaces for Viewpoint Control Metaphors in Virtual Environments by Maximilian Weber
    (Finished: 2012/07/16, Supervisor: Amal Benzina and Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Development and Evaluation of A Freehand SPECT Scanning Simulator by Negin Zarnegar
    (Finished: 2012/06/15, Supervisor: Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Entwicklung eines Prozesses zur Kalibrierung von Datenhandschuhen in Virtual Environments by Michael Förster
    (Finished: 2012/03/15, Supervisor: Marcus Tönnis and Amal Benzina, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Gestyboard 2.0 by Christian Wiesner
    (Finished: 2012/03/15, Supervisor: Tayfur Coskun; Eva Artinger;, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Point- and Linefeature based Bundle Adjustment for a Realtime-Trackingsystem by Georg Barbieri
    (Finished: 2012/02/15, Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker(Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Image based tracking for medical augmented reality in orthodontic application by Andre Aichert
    (Finished: 2011/12/15, Supervisor: Wolfgang Wein Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • An introduction to OR-Use, a systematic usability data acquisition framework for the operating theatre by Max-Emanuel Hoffmann
    (Finished: 2011/11/15, Supervisor: Asli Okur and Ali Bigdelou, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Android Selection and Zooming metaphor in a VR environment by Yanko Sabev
    (Finished: 2011/11/15, Supervisor: Amal Benzina, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Fast and Robust Background Subtraction by Christoph Resch
    (Finished: 2011/11/15, Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker (Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Artifact Reduction in Digital Breast Tomosynthesis Reconstruction by Shiras Abdurahman
    (Finished: 2011/11/15, Supervisor: Anna Jerebko, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Investigating Viewpoint Control Metaphors for hand-held devices in Virtual Environments by Sandro Weber
    (Finished: 2011/10/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Augmented Reality Projektor-Kamera System by Adnane Jadid
    (Finished: 2011/10/15, Supervisor: BjoernSchwerdtfeger, Director: GudrunKlinker), ) $IF( $EXACT(finished,finished) ,
  • Implementation of a virtual practice tutor for music learners by Siehe Unterprojekte
    (Finished: 2011/10/15, Supervisor: Tayfur Coskun, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Implementation and Evaluation of an innovative multitouch-keyboard based on gestures by Lorenzo Piritano
    (Finished: 2011/10/15, Supervisor: Tayfur Coskun; Eva Artinger; Andreas Dippon, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Fusion of Time-of-Flight Plane Features with Point Features for Camera-Pose Tracking by Sebastian Marsch
    (Finished: 2011/09/15, Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker (Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Gesture Recognition in a VR environment - Kinect by Tilman Eberspächerr
    (Finished: 2011/08/15, Supervisor: AmalBenzina, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Computational Modeling of Respiratory Motion Based on 4D CT by Bernhard Fuerst
    (Finished: 2011/06/15, Supervisor: Mehmet Yigitsoy, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Augmented Reality Game for Teaching Medical Skills by Andreas Spurny
    (Finished: 2011/05/15, Supervisor: Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Bestimmung der Pose einer mobilen Kamera relativ zu Objekten aus einem georeferenzierten Umgebungsmodell by Benedict Brück
    (Finished: 2011/04/15, Supervisor: Christian Waechter (TUM) and Andreas Hildisch ( BMW CarIT ), Director: Prof. Gudrun Klinker(Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Statistics on AR Design Principles by David Plecher
    (Finished: 2011/03/14, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Implicit Guidance to Poses in Augmented Reality by Martin Birkmeier
    (Finished: 2011/02/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Occlusion Handling for AR in Dynamic Camera Szenarios by Lorenzo Pirritano
    (Finished: 2011/02/15, Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker(Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Virtual Simulation of Multi-Camera Optical Tracking Systems by Denis Bakarassov
    (Finished: 2010/11/30, Supervisor: Peter Keitler, Director: Gudrun Klinker, Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Visualization of 4D Breathing Motion from Medical Datasets by Markus Müller
    (Finished: 2010/11/15, Supervisor: Athanasios Karamalis, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development of a Disposable Tracking Target for Medical Application by Berkin Ergün
    (Finished: 2010/11/15, Supervisor: Ingo Jumpertz & Thomas Wendler, Director: Erich Wintermantel), ) $IF( $EXACT(finished,finished) ,
  • Bachelorarbeit: Development of a tangible multiplayer Tetris game on a Multitouch Table by Simon Schenk
    (Finished: 2010/11/15, Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Optimized Workflow for Integration of Pre-operative Images into a Intra-operative Imaging Application by Dominik Zaeuner
    (Finished: 2010/10/15, Supervisor: Joerg Traub, Stefan Wiesner and Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development of a Single Touch User Interface for the Efficient and Intuitive Completion of Forms in the Area of Emergency Rescue Services by Daniela Korhammer
    (Finished: 2010/10/10, Supervisor: Tayfur Coskun; Simon Nestler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Automated Segmentation of Sentinel Lymph Nodes from Freehand SPECT Images of Breast Cancer Patients by Asli Okur
    (Finished: 2010/09/15, Supervisor: Tobias Lasser and Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Integration of Markerless Tracking with Global Reference Frames by Mahmoud Bahaa
    (Finished: 2010/08/31, Supervisor: Peter Keitler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Development of an Augmented Reality Application on the base of Ubitrack and a 3D Game Engine by Konrad Pustka
    (Finished: 2010/08/16, Supervisor: Björn Schwerdtfeger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • A Framework for Evaluation of Time Measurement based Tracking Approaches by Stefan Machleidt
    (Finished: 2010/07/15, Supervisor: Manuel Huber, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Closed-Form Solutions to Computation of Multiple-View Homographies by Pierre Schroeder
    (Finished: 2010/06/15, Supervisor: Adrien Bartoli, Pierre Fite-Georgel, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Bachelorarbeit: Entwicklung einer Applikation auf einem Multi-touch Tisch zur Überblickslage in Großschadensereignissen by Martin Schanzenbach
    (Finished: 2010/06/15, Supervisor: Eva Artinger, Simon Nestler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Optimization of image reconstruction and analysis workflows for cardiac Positron Emission Tomography integrating multidimensional physiological gating by Brian Jensen
    (Finished: 2010/05/31, Supervisor: Dr. Stephan Nekolla,, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Methoden und Metaphern zur Navigation in virtuellen Landkarten by Nick Heuser
    (Finished: 2010/05/15, Supervisor: Marcus Tönnis, Amal Benzina, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • C-arm Motion Estimation without Radiation by Maximilian Springer
    (Finished: 2010/05, Supervisor: Lejing Wang, Joerg Traub, Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • 6DOF C-arm Motion using Kinematic Analysis by Rui Zou
    (Finished: 2010/04/30, Supervisor: Lejing Wang, Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Calibration of Endobronchial Ultrasound by Philipp Dressel
    (Finished: 2010/01/15, Supervisor: Marco Feuerstein, Tobias Reichl, Director: Nassir Navab, Kensaku Mori), ) $IF( $EXACT(finished,finished) ,
  • Billiard Ball Tracking by Manuel Wolf
    (Finished: 2009/12/15, Supervisor: Christian Waechter, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Diplomarbeit: Software based planning and information management on mobile devices for supporting the administration of rescue operations by Peter Pichlmaier
    (Finished: 2009/12/15, Supervisor: Simon Nestler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Diplomarbeit: Supporting emergency responders using software‐based information management on mobile devices by Thomas Endres
    (Finished: 2009/12/15, Supervisor: Simon Nestler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Interactive Tomographic Reconstruction for Freehand SPECT using the GPU by Alexandru Duliu
    (Finished: 2009/10/15, Supervisor: Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Tracking auf Mobiltelefonen für Augmented Reality Anwendungen by Frieder Pankratz
    (Finished: 2009/10/15, Supervisor: Björn Schwerdtfeger, Peter Keitler, Daniel Pustka, Director: Prof. Gudrun Klinker, PhD.), ) $IF( $EXACT(finished,finished) ,
  • Navigated Biopsy of scintigraphic cold nodules for patients suspected of having thyroid cancer by Katarzyna Szajkowska
    (Finished: 2009/09/31, Supervisor: Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Level Sets for Symbolic Reconstruction by Jakob Vogel
    (Finished: 2009/09/30, Supervisor: Andreas Keil, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Optical Screening Methods for Quantitative Evaluation of Progression in Skin Displasia by Rebekka Mayr
    (Finished: 2009/09/28, Supervisor: Tobias Lasser, Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Video-based bronchoscope tracking for navigated bronchoscopy by Benedikt Schultis
    (Finished: 2009/09/14, Supervisor: Tobias Reichl, Oliver Kutter, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Feasibility study of beta probes for intraoperative detection of malignancy by Jakub Bieniarz
    (Finished: 2009/08/31, Supervisor: Thomas Wendler and Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • GPU Accelerated Deformable Registration by Philipp Stefan
    (Finished: 2009/08/15, Supervisor: BenGlocker OliverKutter, Director: NassirNavab), ) $IF( $EXACT(finished,finished) ,
  • Model-based Segmentation of Abdominal Aortic Stent Grafts in 2D and 3D Interventional Images by Markus Urban
    (Finished: 2009/08/15, Supervisor: Stefanie Demirci, Max Baust, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Endless Marker Tracking by Yasir Latif
    (Finished: 2009/07/31, Supervisor: Christian Waechter and Manuel Huber, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Controlling 3D objects by using a multitouch surface with gesture recognition by Franziskus Karsunke
    (Finished: 2009/06/30, Supervisor: PatrickMaier, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Hand Tracking with the Wiimote by Amir Beshay
    (Finished: 2009/06/30, Supervisor: FlorianEchtler, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Evaluation of Advanced real-time Visualization Techniques for Medical Augmented Reality by Matthias Wieczorek
    (Finished: 2009/06/15, Supervisor: Oliver Kutter, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Blood Flow Simulation for Angiographic Interventions by Max Hainz
    (Finished: 2009/06/15, Supervisor: Martin Groher, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Design, Development and Evaluation of a Multimodal User Interface for Medical In-Situ Visualization by Samuel Kerschbaumer
    (Finished: 2009/05/15, Supervisor: Christoph Bichlmeier, Stuart Holdstock, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development of a multitouch sensor for LCD displays by Thomas Pototschnig
    (Finished: 2009/05/15, Supervisor: Florian Echtler, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • A Framework for Visual Tracking of Articulated Objects by Daniel Muhra
    (Finished: 2009/03/15, Supervisor: Daniel Pustka, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • An Iterative Reconstruction Framework for Surface PET: Positron Activity Surface Imaging using Tracked Beta Probes for Intraoperative Control of Resection Borders in Cancer Surgery by Coskun Özgür
    (Finished: 2009/02/15, Supervisor: Thomas Wendler, Tobias Lasser, Director: Nassir Navab and Markus Schwaiger), ) $IF( $EXACT(finished,finished) ,
  • A Tabletop Display as a Multi-Modal and Multi-User Interface for Collaborative Patient Data Analysis by Latifa Omary
    (Finished: 2008/11/15, Supervisor: Christoph Bichlmeier, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Advanced Intra-operative Visualization In Neurosurgery by André Aichert
    (Finished: 2008/10/15, Supervisor: Oliver Kutter, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Building a Gesture-Based Information Display by Nikolas Dörfler
    (Finished: 2008/09/15, Supervisor: Florian Echtler,Manuel Huber, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Development of a model for computer-aided driver behaviour simulation by Severina Popova
    (Finished: 2008/09/15, Supervisor: Martin Wohlfahrter (LFE), Florian Echtler, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Hybrid Segmentation Method for Treatment Planning of Abdominal Aortic Aneurysms by Guy Lejeune
    (Finished: 2008/09/01, Supervisor: Stefanie Demirci, Max Baust, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Optimierung und Evaluierung der Interaktion und der Visualisierung eines Pick-By-Vision Systems by Xueming Pan
    (Finished: 2008/07/15, Supervisor: Björn Schwerdtfeger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Design, Implementation and Evaluation of a Workflow System for Augmented Reality Applications by Stefan Misslinger
    (Finished: 2008/07/15, Supervisor: Katharina Pentenrieder, Hr. Kühn, Metaio gmbh, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Enabling Personalized Augmented Reality Display Technology in Cars by Michail Yordanov
    (Finished: 2008/07/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • AR in Cars for Assistance at Interesection by Markus Duschl
    (Finished: 2008/06/15, Supervisor: Marina Plavsic, Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Evaluierung markerloser Trackingverfahren zur Realisierung einer MagicBook-Anwendung by Sebastian Lieberknecht
    (Finished: 2008/06/15, Supervisor: Katharina Pentenrieder, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Presentation Concepts for Conformal Navigation Systems by Leslie Klein
    (Finished: 2008/05/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Tracking in Interactive Spaces (in Barcelona, Spain) by Christian Waechter
    (Finished: 2008/05/15, Supervisor: Daniel Pustka, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Discovery and Detection of Surgical Activity in Percutaneous Vertebroplasty by Ahmad Ahmadi
    (Finished: 2008/03/31, Supervisor: Nicolas Padoy, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Active Vision in Interactive Spaces by Henning Herbers
    (Finished: 2008/02/15, Supervisor: Daniel Pustka, Sergi Bermudez i Badia (UPF), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Volume Flow Rate Determination in the Cranial Vessel Tree Based on Quantitative Magnetic Resonance Data by Jürgen Sotke
    (Finished: 2008/02/15, Supervisor: Thomas Seiler (BrainLAB), Fritz Vollmer (BrainLAB), Andreas Keil, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • GPU Ultrasound Simulation and Volume Reconstruction by Athanasios Karamalis
    (Finished: 2008/02/15, Supervisor: Oliver Kutter Wolfgang Wein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Increasing Robustness of Real-Time Edge-Based Tracking by Kenan Bektas
    (Finished: 2008/01/31, Supervisor: Benjamin Becker, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Error Classification and Propagation for Electromagnetic Tracking by Julian Much
    (Finished: 2008/01/15, Supervisor: Joerg Traub Marco Feuerstein, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Error Classification for Electromagnetic Tracking by Julian Much
    (Finished: 2008/01/15, Supervisor: Joerg Traub, Marco Feuerstein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Confidence visualization and robust inference based on tracking for beta probe surface reconstruction by Alexander Hartl
    (Finished: 2008/01/15, Supervisor: Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Workflow analysis for tumor resection procedures and evaluation of potential applications for radio-guided surgery by Xin Xu
    (Finished: 2008.01.15, Supervisor: Thomas Wendler, Director: Markus Schwaiger?), ) $IF( $EXACT(finished,finished) ,
  • Efficient Visualization of Lighting Simulation Data by Stanimir Arnaudov
    (Finished: 2007/11/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Contactless control of a minimal invasive surgical robot system by Miriam Wiegand
    (Finished: 2007/11/15, Supervisor: Andreas Tobergte, Tobias Ortmaier, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Precise Distance and Position Determination of Objects in the Driving Environment with Stereo Vision for various Applications by Benjamin Kormann
    (Finished: 2007/10/15, Supervisor: Dr. Klaus Gresser (BMW); Antje Neve (BMW), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Advanced In-Situ Visualization for Vertebroplasty by Arno Scherhorn
    (Finished: 2007/10/15, Supervisor: Christoph Bichlmeier, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Image Segmentation for Occupancy Map Reconstruction by Nuno Barreiro?
    (Finished: 2007/10/07, Supervisor: Selim Benhimane Alexander Ladikos, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Identifizierung effizienter Nutzer von Augmented Reality Systemen by Erwin Yükselgil
    (Finished: 2007/09/30, Supervisor: Björn Schwerdtfeger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Surgical Workflow Analysis: Representation and Application to Monitoring by Tobias Blum
    (Finished: 2007/08/15, Supervisor: Nicolas Padoy, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Focus and Context Visualization for Medical Augmented Reality by Felix Wimmer
    (Finished: 2007/08/15, Supervisor: Christoph Bichlmeier, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Augmented Reality in user interfaces for industrial robots by Ingo Kresse
    (Finished: 2007/07/16, Supervisor: Wolfgang Vogl (iwb), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Online Error Correction for the Tracking of Laparoscopic Ultrasound by Tobias Reichl
    (Finished: 2007/07/16, Supervisor: Marco Feuerstein, Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Real-Time Respiratory Motion Tracking: Roadmap Correction for Endovascular Interventions by Selen Atasoy
    (Finished: 2007/06/15, Supervisor: Martin Groher, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Fiducial-Free Registration Procedure for Navigated Bronchoscopy by Tassilo Klein
    (Finished: 2007/05/15, Supervisor: Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Non-rigid Registration Using Free-form Deformations by Loren Schwarz
    (Finished: 2007/05/15, Supervisor: Ali Khamene?, Darko Zikic, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Automatic Feature Computation for Endoscopic Image Classification by Uli Klank
    (Finished: 2007/05/14, Supervisor: Nicolas Padoy, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Maintenance Support using Hybrid Displays by AndreasDemmel
    (Finished: 2007/04/15, Supervisor: BjoernSchwerdtfeger, Director: GudrunKlinker), ) $IF( $EXACT(finished,finished) ,
  • Three-Dimensional Ultrasound Mosaicing by Christian Wachinger
    (Finished: 2007/03/30, Supervisor: Wolfgang Wein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Intraoperative Guidance via Medical Augmented Reality by Martin Schulze
    (Finished: 2007/03/15, Supervisor: Tobias Sielhorst, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • In-situ visualization of laparoscopic image data by Alfredo Higueras Esteban
    (Finished: 2007/03/15, Supervisor: Tobias Sielhorst, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Fast and efficient error correction of electromagnetic tracking and its application in prostate cancer treatment by Claudia Thormann
    (Finished: 2007/03/15, Supervisor: Jörg Traub, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Anonymization by Christoph Niedermayr
    (Finished: 2007/02/15, Supervisor: AndreasKeil, Director: NassirNavab), ) $IF( $EXACT(finished,finished) ,
  • Konzeption, Implementierung und Evaluierung einer Schattenmetapher für Fahrerinformationssysteme by Horst Süggel
    (Finished: 2007/02/15, Supervisor: Verena Broy, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Integration of a Component Based Driving Simulator and Experiments on Multimodal (= Haptical and Optical) Driver Assistance by Darya Popiv
    (Finished: 2007/02/15, Supervisor: Marcus Tönnis , Christian Lange, Director: Gudrun Klinker , Heiner Bubb), ) $IF( $EXACT(finished,finished) ,
  • Multi-View Deconvolution of Biomedical Images by Moritz Blume
    (Finished: 2007/01/22, Supervisor: Darko Zikic, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Contributions for building specific CAD models for vision-based application by Stefan Hinterstoisser
    (Finished: 2007/01/15, Supervisor: Selim Benhimane, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Integration and evaluation of light- and shadow metaphors for In-vehicle Information Systems by Horst Süggel
    (Finished: 2007/01/15, Supervisor: Verena Broy, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Tracking und Kalibration mit einem Infrarot-Optischen Mehrkamerasystem by Daniel Muhra
    (Finished: 2007-10-31, Supervisor: Daniel Pustka, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Experiments and Validation of a Three-Dimensional Accelerometer in a Belt Buckle, ActiBelt, for Continuous Multiple Sclerosis Patient Monitoring by Thomas Gossner
    (Finished: 2006/16/12, Supervisor: Joerg Traub, Director: Nassir Navab and Martin Daumer), ) $IF( $EXACT(finished,finished) ,
  • Towards Fusion of IVUS and OCT Images by Olivier Pauly
    (Finished: 2006/12/15, Supervisor: Darko Zikic, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Cartographic metaphor for interaction in an automotive environment by Christopher Rölle
    (Finished: 2006/12/15, Supervisor: Verena Broy, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Discrete Optimization and Uncertainty Estimation in Non-Rigid Image Registration by Ben Glocker
    (Finished: 2006/11/20, Supervisor: Darko Zikic, Director: Nassir Navab and Nikos Paragios), ) $IF( $EXACT(finished,finished) ,
  • Authoring of Augmented Reality based Maintenance Manuals by Dimitri Khanin
    (Finished: 2006/11/15, Supervisor: Daniel Pustka, Dr. Dieter Langer (EADS), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Infrastructure Independent Self-Positioning Using Projected Patterns in the Environment by Moritz Koehler
    (Finished: 2006/11/15, Supervisor: Daniel Pustka, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Towards Robust Markerless Tracking: Combining Feature-based and Intensity-based Approaches by Alexander Ladikos
    (Finished: 2006/11/15, Supervisor: Selim BenHimane, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Navigated RF Ablation by Claudio Alcérreca
    (Finished: 2006/10/27, Supervisor: Marco Feuerstein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Ultrasound-based Measurement of Anatomical Structures by Jörg Jakobs
    (Finished: 2006/10/15, Supervisor: Marco Feuerstein and Dr. Martin Haimerl (BrainLAB AG), Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Image Deconvolution for Microscopy by Thomas Kasper
    (Finished: 2006/10/12, Supervisor: Thorsten Zerfaß (Fraunhofer IIS), Stephan Rupp (Fraunhofer IIS), Andreas Keil, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Erweiterung der algebraischen Rekonstruktion auf der Grafikkarte by Wolfgang Holler
    (Finished: 2006/08/15, Supervisor: Prof. Dr. Tim Lüth, Ralf Tita, Andreas Keil, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Automatic Calibration of Tracked Catheter Ultrasound by Oliver Kutter
    (Finished: 2006/08/15, Supervisor: Wolfgang Wein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Display Technologies for Augmented Reality Support in Logistics by Troels Frimor
    (Finished: 2006/07/15, Supervisor: Daniel Pustka, Bjoern Schwerdtfeger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Entwicklung und prototypische Umsetzung eines Konzeptes zur Programmierung komplexer Roboterzellen durch 3-D-Interaktion in VR-Umgebungen by Oskar Klett
    (Finished: 2006/07/15, Supervisor: Michael Spitzweg und Ulrich Munzert, Fakultät für Maschinenwesen, IWB, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Predicting the Accuracy of Optical Tracking Systems by Michael Schlegel
    (Finished: 2006/07/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Ressourcenmanagement im Katastrophenfall by Simon Nestler
    (Finished: 2006/06/06, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Deformable Registration Methods by Darko Zikic
    (Finished: 2006/04/15, Supervisor: Wolfgang Wein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Error Correction for Electromagnetic Tracking by Sukhbansbir Kaur
    (Finished: 2006/04/01, Supervisor: Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Advanced 3D visualization for intra operative AR by Christoph Bichlmeier
    (Finished: 2006/02/28, Supervisor: Tobias Sielhorst, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • A Navigation Tool for the Endovascualar Treatment of Aortic Aneurysms - Computer Aided Implantation of a Stent Graft by Konstantinos Filippatos
    (Finished: 2006/02/15, Supervisor: Marco Feuerstein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Reconstruction and Visualization of 3D Freehand Ultrasound by Fabian Pache
    (Finished: 2006/01/15, Supervisor: Wolfgang Wein, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Interaktiver elektronischer Leitstand zur Disposition von Fertigungsaufträgen by Steven Pessall
    (Finished: 2005/11/15, Supervisor: Marcus Tönnis, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Automatic workflow retrieval in surgery by Ahmad Ahmadi / Ralf Stauder
    (Finished: 2005/10/31, Supervisor: Tobias Sielhorst Martin Horn, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Hepatic Vessel Extraction for 2D/3D Registration by Nicolas Padoy
    (Finished: 2005/09/15, Supervisor: Martin Groher, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Analysis of Conceptual Differences and Similarities Concerning the Interaction with Physical and Digital Objects in Augmented Reality by Christian Trübswetter
    (Finished: 2005/08/16, Supervisor: Gudrun Klinker, Verena Broy, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Optical and Magnetic Tracking by Sintje Göritz
    (Finished: 2005/08/15, Supervisor: Martin Bauer, Joerg Traub, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Entwicklung eines inverskinematischen infrarot-optischen Datenhandschuhs by Gerrit Hillebrand
    (Finished: 2005/08/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • User Interface for Medical Augmented Reality by Marion Gantner
    (Finished: 2005/07/31, Supervisor: Tobias Sielhorst, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Optical See-Through HMD Calibration by Sven Hennauer
    (Finished: 2005/07/15, Supervisor: Martin Bauer, Director: Gudrun Klinker, Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Analysing the Accuracy of the Fluoroscopic Navigation and Image Registration in an established Medical Software Application by Matthias Assel
    (Finished: 2005/06/15, Supervisor: Joerg Traub and Dr. Manfred Weiser (BrainLAB AG), Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Improving Augmented Reality Table Top Applications with Hybrid Tracking by Felix Löw
    (Finished: 2005/05/15, Supervisor: Martin Wagner, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Spatial Context Management for Augmented Reality Applications by Jan-Gregor Fischer
    (Finished: 2005/05/15, Supervisor: Marcus Tönnis, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Importance of Gaze Awareness in Augmented Reality Tele Conferncing by MichaelSiggelkow
    (Finished: 2005/05/11, Supervisor: Martin Wagner, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Tracking Scissors using reflective Lines by Katharina Pentenrieder
    (Finished: 2005/01/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Recognition of dynamic gestures considering multimodal context information by LeonhardWalchshaeusl
    (Finished: 2004/12/15, Supervisor: GudrunKlinker, Director: GudrunKlinker), ) $IF( $EXACT(finished,finished) ,
  • Real-time Computation of Depth Maps with an Application to Occlusion Handling in Augmented Reality by Hauke Heibel
    (Finished: 2004/10/15, Supervisor: Tobias Sielhorst, Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Handling Error in Ubiquitous Tracking Setups by Daniel Pustka
    (Finished: 2004/08/15, Supervisor: Martin Bauer, Asa MacWilliams, Martin Wagner, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Construction of Decentralized Data Flow Graphs in Ubiquitous Tracking Environments by Dagmer Beyer
    (Finished: 2004/07/15, Supervisor: Martin Bauer, Asa MacWilliams, Martin Wagner, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Entwurf und Integration eines kamerabasierten Trackingsystems für ein Flugzeugcockpit by Franz Mader
    (Finished: 2004/07/15, Supervisor: Martin Wagner, Hesam Najafi , Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Bootstrapping of Sensor Networks in Ubiquitous Tracking Environments by Franz Strasser
    (Finished: 2004/07/15, Supervisor: Martin Bauer, Martin Wagner, Asa MacWilliams, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Attentive User Interfaces for DWARF by Vinko Novak
    (Finished: 2004/06/14, Supervisor: Dipl.Inf. Christian Sandor, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Interaction Management for Adaptive Augmented Reality User Interfaces by Otmar Hilliges
    (Finished: 2004/05/14, Supervisor: Christian Sandor, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Design of a Planning Tool for Port Placement in Robotically Assisted Minimally Invasive Cardiovascular Surgery by Marco Feuerstein
    (Finished: 2003/12/23, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Computer Supported Implantation of a Stent Graft by Martin Groher
    (Finished: 2003/12/23, Supervisor: Martin Bauer, Director: Prof. Gudrun Klinker Ph.D.), ) $IF( $EXACT(finished,finished) ,
  • Automated Registration in Endoscopic Treatment of Aortic Aneurisms by Peter Keitler
    (Finished: 2003/12/23, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Design eines für Blinde und Sehbehinderte geeigneten Navigationssystems mit taktiler Ausgabe by Günther Harrasser
    (Finished: 2003/12/15, Supervisor: Martin Bauer, Martin Wagner, Director: Prof. Gudrun Klinker, Ph.D.), ) $IF( $EXACT(finished,finished) ,
  • Benutzerorientierter Datenfilter für Umgebungsinformationen als Erweiterung eines Navigationssystems für sehbehinderte und blinde Mitmenschen by Florian Reitmeir
    (Finished: 2003/12/15, Supervisor: Martin Bauer, Martin Wagner, Director: Prof. Gudrun Klinker, Ph.D.), ) $IF( $EXACT(finished,finished) ,
  • Implementation and Validation of Intensity Based 3D-2D Registration Algorithms for Radiation Therapy by Wolfgang Wein
    (Finished: 2003/12/15, Supervisor: Ali Khamene, Martin Bauer, Director: Prof. Gudrun Klinker Ph.D.), ) $IF( $EXACT(finished,finished) ,
  • Design of an Intra-Operative Augmented Reality Navigation Tool for Robotically Assisted Minimally Invasive Cardiovascular Surgery by Jörg Traub
    (Finished: 2003/11/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • High Accuracy Tracking for Medical Augmented Reality by Tobias Sielhorst
    (Finished: 2003/10/24, Supervisor: Ali Khamene, Ph.D. (Siemens Corporate Research), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Analyzing and Monitoring Tracking Accuracy of an A.R.T. System by Christian Trübswetter
    (Finished: 2003/10/15, Supervisor: Hesam Najafi, Director: Prof. Gudrun Klinker Ph.D.), ) $IF( $EXACT(finished,finished) ,
  • Data Management for Augmented Reality Applications by Marcus Tönnis
    (Finished: 2003/07/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Calibration of Virtual Cameras for Augmented Reality by Bernhard Zaun
    (Finished: 2003/07/15, Supervisor: Martin Bauer, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Curvelet sparse regularization for differential phase-contrast X-ray imaging by Matthias Wieczorek
    (Finished: 20/12/2012, Supervisor: Jakob Vogel, Tobias Lasser, Jürgen Frikel, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Deformable Registration of Cine-MRI Images for Colonic Motility Analysis by Raphael Arias and Arianne Tran
    (Finished: 19.04.2013, Supervisor: Mehmet Yigitsoy, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Augmented Reality Tabletop Game by Stefan Laimer, Florian Weinberger
    (Finished: 16.11.2014, Supervisor: Frieder Pankratz, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Evaluation of the impact of super resolution on tracking accuracy

    Evaluierung der Auswirkungen von Super Resolution auf die Tracking-Genauigkeit
    by Florian Liegsalz
    (Finished: 15.12.2012, Supervisor: Prof. Gudrun Klinker, Ph. D., Director: Frieder Pankratz), ) $IF( $EXACT(finished,finished) ,
  • Smart-Phone Incremental Pose Tracking In Unregistered Environments by
    (Finished: 15.08.2012, Supervisor: M.Sc.-Inf Frieder Pankratz, Director: Prof. Gudrun Klinker, PhD.), ) $IF( $EXACT(finished,finished) ,
  • User Distraction through Interaction with a Wall-sized Display by Alexander Plopski
    (Finished: 14.05.2012, Supervisor: M.Sc.-Inf Frieder Pankratz, Dr. Kiyoshi Kiyokawa, Director: Prof. Gudrun Klinker, PhD.), ) $IF( $EXACT(finished,finished) ,
  • Hybrid Tracking for Intra-Operative Imaging: Fusion of optical, magnetic, robotic and radioactive tracking techniques by Felix Achilles
    (Finished: 1.1.2014, Supervisor: Bernhard Fuerst, Amit Shah, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development of a tool for reconstruction of CT images using Rebinning by Felix Kopp
    (Finished: 04/15/2012, Supervisor: Peter Noel, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Object and System Model Generation for X-ray Computed Tomography by Wangxin Liu
    (Finished: 03/15/2012, Supervisor: Peter Noel, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Error Propagation for Augmented Reality Assisted Navigated Pedicle Screw Implantation by Irene Faure de Pebeyre
    (Finished: + 6 month, Supervisor: Tassilo Klein, Christoph Bichlmeier, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Realtime Medical Volume Rendering on Microsoft Hololens by
    (Finished: , Supervisor: Ulrich Eck, Director: Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaBauer][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaBothe][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Comparative Study on CNN Initialization by Michael Wengler
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • User supporting Visualisationmethods for Hand-Eye Calibration by Michael Boxhammer
    (Finished: , Supervisor: Christian Waechter, Director: Gudrun Klinker), ) $IF( $EXACT(running,finished) ,
  • Methodological Categorization of Vessel Registration Techniques by Stefan Matl
    (Finished: , Supervisor: Stefanie Demirci,Maximilian Baust, Director: Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaColourCosmos][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaDechamps][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaFelleisen][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • MRF as regularizations on forest predictions for matching meshes by Vera Hug
    (Finished: , Supervisor: Chun-Hao Paul Huang, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaFrattini][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Gamification in the Medical Context by Stefan Matl
    (Finished: , Supervisor: Shadi Albarqouni,Stefanie Demirci, Maximilian Baust, Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaGruber][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(running,finished) ,
  • Distance Visualization for HMD Interaction by Maximilian Tharr
    (Finished: , Supervisor: Yuta Itoh, Christian Waechter, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Ultrasound Training Simulator using a Haptic Feedback Device by Hongming Huai
    (Finished: , Supervisor: Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaHell][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • Tracking Error Evaluation and Propagation With Hybrid Tracking System by
    (Finished: , Supervisor: Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Analysis of Tool Tracking Methods by
    (Finished: , Supervisor: Dr. Diana Mateus, Dr. Stefanie Demirci, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.BaKessner][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaKindl][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaKoehler][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaLudus][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(running,finished) ,
  • 3D Bodymapping from RGB-D cameras by
    (Finished: , Supervisor: Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Computer Aided Diagnosis of Moles by
    (Finished: , Supervisor: Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Interactive Augmented Reality for Anatomy Teaching by
    (Finished: , Supervisor: Felix Bork, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Improving User Recognition for an Augmented Reality Magic Mirror by
    (Finished: , Supervisor: Ma Meng, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Markerloses Tracking von Personen und Geräten im OP - Möglichkeiten und Ansätze by Sonja Vogl
    (Finished: , Supervisor: Gel Han, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • [[Students.BaMathiasGorf][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Stereo AR Prototype for Ophthalmic Interventions using Unreal Engine by
    (Finished: , Supervisor: Jakob Weiss, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Bachelorthesis: Implementation of a SVG-GUI-Builder in the Context of the SpeedUp-Project by Kang-Hunn Lee
    (Finished: , Supervisor: Tayfur Coskun, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(,finished) ,
  • [[Students.BaSchwab][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaSchwarzmann][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaSuchacek][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaTipecska][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaTolstoi][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • [[Students.BaUWAR][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaWandinger][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.BaWintergerst][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Multimodal Consultation System for Patient Education in Plastic Surgery by Patrick Wucherer
    (Finished: , Supervisor: Christoph Bichlmeier, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Multimodal Human Mocap by
    (Finished: , Supervisor: Dr. Stefanie Demirci, Dr. Diana Mateus, Director: Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Group-wise CT to Ultrasound Registration of Lumbar Spine by Abtin Rasoulian
    (Finished: , Supervisor: Christian Wachinger, Director: Purang Abolmaesumi, Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Visual Recognition of Surgical Actions Using a View-Invariant Descriptor by
    (Finished: , Supervisor: Vasileios Belagiannis, Dr. Slobodan Ilic, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Master IDP: Automatic Anatomical Landmark Detection by
    (Finished: , Supervisor: Dr. Lichao Wang, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development of Android touch interface for navigation in an immersive environment such as CAVE by Ashry Mohamed
    (Finished: , Supervisor: Amal Benzina, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Quantifiable Indices Towards Estimating Hemodynamics in Cerebral Aneurysms and the Efficacy of Flow Diverter Deployments by Tobias Benz
    (Finished: , Supervisor: Markus Kowarschik,Richard Brosig,Peter Maday, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Auto-Calibration of Spatial Sensor Information by
    (Finished: , Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker (Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • BOOPS: Breast RegistratiOn fOr Plastic Surgery by Martin Sälzle
    (Finished: , Supervisor: Christian Wachinger,Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Validation of Navigated Beta Probe Application in Cancer Surgery by
    (Finished: , Supervisor: Thomas Wendler, Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Biological Image Processing by
    (Finished: , Supervisor: Dr. Lichao Wang, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • The use of biplane C-arm systems for instantenous 3D flow estimation by
    (Finished: , Supervisor: Peter Maday, Markus Kowarschik (Siemens AG), Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Quantification of Deformation in Navigated Bronchoscopy by
    (Finished: , Supervisor: Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Interaction Concept for a Medical Augmented Reality System by
    (Finished: , Supervisor: Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • C-arm Calibration by Xin Chen
    (Finished: , Supervisor: Lejing Wang,Pascal Fallavollita, Ph.D., Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Radiation-free drill guidance for Interlocking of Intramedullary Nails using video-augmented-X-ray by Benoit Diotte
    (Finished: , Supervisor: Lejing Wang,Pascal Fallavollita, Ph.D., Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Visual Marker Based User Interface for the Operating Room by Oleg Simin
    (Finished: , Supervisor: Lejing Wang, Dr. med. Simon Weidert, Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Automatic detection and reconstruction of catheter-tips in X-ray images by
    (Finished: , Supervisor: Dr. Pascal Fallavollita, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Automatic definition of cardiac axis in emission tomography by
    (Finished: , Supervisor: Axel Martinez Möller, Stephan Nekolla, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Image-based Quantification of Patella Cartilage using MRI - Evaluation of Novel Methods for Segmentation, Volume and Thickness Estimation by Shanshan Cui
    (Finished: , Supervisor: Dipl.-Inf. Ben Glocker, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Longitudinal Analysis of the Cerebral Vasculature in Diabetic Rats by
    (Finished: , Supervisor: Markus Rempfler, Prof. Dr. Bjoern Menze, Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.DaChisu][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Dynamic analysis of coronary arteries in a fluoroscopy sequence by
    (Finished: , Supervisor: Dr. Pascal Fallavollita, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Visualization of activity parameters with an avatar suitable for the elderly people by Tayfur Coskun
    (Finished: , Supervisor: Daniel Pustka, Hans Egermeier (xmedio), Oliver Hengstenberg (xmedio), Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Counting data on a map on a multitouch table by Moritz Neugebauer
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Coupled Curves Segmentation by
    (Finished: , Supervisor: Abouzar Eslami; Athanasios Karamalis, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Deep Context Learning for Image Understanding by
    (Finished: , Supervisor: Dr. Lichao Wang, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Joint Master Thesis with the University of Miami: The Combination of Medical Ultrasound and Deep-Sea Sonography by Sarah Hempel
    (Finished: , Supervisor: Christian Wachinger, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Deformable Registration of 3-D ultrasound and CT for gastrointestinal interventions by
    (Finished: , Supervisor: Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Depth-based hand tracking for RGBD Augmented C-arms by
    (Finished: , Supervisor: Séverine Habert, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Improving Depth Perception for Video-Based, Intraoperative Augmented Reality Systems. by Maxim Kipot
    (Finished: , Supervisor: Christoph Bichlmeier, Stuart Holdstock, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition by
    (Finished: , Supervisor: P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Dynamische Kalibrierung eines Lokalisierungssystems basierend auf einer drahtlosen Technologie by
    (Finished: , Supervisor: Gel Han, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(running,finished) ,
  • Efficient Object Detection using Fully Convolutional Neural Networks by Bharti Munjal
    (Finished: , Supervisor: Iro Laina, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Egozentrische 3D-Visualisierung von Fussballtaktiken in einer Datenbrille -- Ego-centric 3D Visualization of Soccer Tactics in an HMD by
    (Finished: , Supervisor: Sandro Weber, David Plecher, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(open,finished) ,
  • Gameentwicklung zum Thema Ernährung by
    (Finished: , Supervisor: David A. Plecher, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Endoscopic Cluster Matching for Optical Biopsy Localisation by
    (Finished: , Supervisor: Selen Atasoy, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Evaluation of Realtime Object Detection and Tracking Method for Defining an Optimal Performance Algorithm by Ya Chen
    (Finished: , Supervisor: Stefan Hinterstoisser, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • X-ray Stitching Evaluation Based on DDRs: Towards Clinical Trial by
    (Finished: , Supervisor: Lejing Wang, Director: Professor Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Evaluierung eines alternativen optischen Trackingsystems zur Überprüfung der Genauigkeit eines Lokalisierungssystems by
    (Finished: , Supervisor: Gel Han, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Optimization of models in Freehand SPECT reconstructions by
    (Finished: , Supervisor: Alexander Hartl, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Automatic fiducial and implant segmentation using C-arm fluoroscopy by
    (Finished: , Supervisor: Dr. Pascal Fallavollita, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Fast Contour Segmentation by
    (Finished: , Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker(Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • BA/MA/DA 3D Particle System on a Multitouch Table by Waltraud Sichart
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Freehand 3D endosonography by
    (Finished: , Supervisor: Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • 3D Freehand Ultrasound Compounding for Ultrasound Doppler Angiography by
    (Finished: , Supervisor: Tassilo Klein, Ahmad Ahmadi, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Design and optimization of collimators for handheld gamma cameras by Volodymyr Cherniy
    (Finished: , Supervisor: Benjamin Frisch Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Multitouch Gesten Leitfaden by Natascha Abrek
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Gestenbasierte Informationsvisualisierung mit einem optisch getrackten Datenhandschuh (ART) by
    (Finished: , Supervisor: nn, Director: Gudrun Klinker), ) $IF( $EXACT(,finished) ,
  • [[Students.DaGlanceAR][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Glioma Modelling Using Spectroscopy and PET Images by
    (Finished: , Supervisor: Jana Lipkova; Prof. Dr. Bjoern Menze , Director: ), ) $IF( $EXACT(open,finished) ,
  • Patient Specific and Image Based Modeling of Brain Tumor Progression by
    (Finished: , Supervisor: Peter Maday, Jana Lipkova, Prof. Dr. Bjoern Menze, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Interactive Heart Learning Using Augmented Reality Magic Mirror by
    (Finished: , Supervisor: Ma MengPascal Fallavollita, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Histology Fold Detection by
    (Finished: , Supervisor: Martin Groher and Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • 3D Human Pose Estimation From Sparse Data by
    (Finished: , Supervisor: Felix Achilles, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Multi-View Human Poses/Shape Tracking without Background Subtraction: a bottom-up approach by
    (Finished: , Supervisor: Chun-Hao Paul Huang, Dr. Slobodan Ilic, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Multi-View Human Poses/Shape Tracking without Background Subtraction: a top-down approach by
    (Finished: , Supervisor: Chun-Hao Paul Huang, Dr. Slobodan Ilic, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Human Shape Adaptation with with skeletons and pressure measurement by
    (Finished: , Supervisor: Chun-Hao Paul Huang, Dr. Stefanie Demirci, Dr. Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Maintenance Support Using Hybrid Displays by Andreas Demmel
    (Finished: , Supervisor: Björn Schwerdtfeger, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Illumination Compensation in Surgical Scenes by Ivan Lebedev
    (Finished: , Supervisor: Séverine Habert,Pascal Fallavollita, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Spatial Tracking of a Laparoscope Using an Inside-out Tracker by
    (Finished: , Supervisor: Marco Feuerstein, Joerg Traub, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Development of an Interaction Concept for an AR-HUD application by
    (Finished: , Supervisor: Christian Wiesner, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • 3D Interaction Methods for Medical Applications using Low-Cost Hardware by Korbinian Schwinger
    (Finished: , Supervisor: Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Usage of Depth Camera xbox Kinect by Hasan Elsherbiny
    (Finished: , Supervisor: Amal Benzina, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • [[Students.DaKinectCADTracking][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Object Recognition Using Microsoft's KINECT by
    (Finished: , Supervisor: Diana Mateus, Olivier Pauly, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Kinematic Registration Method for Image-Free Navigated Total Knee Arthroplasty by
    (Finished: , Supervisor: Martin Bauer, Director: Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.DaKrause][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(abgeschlossen,finished) ,
  • [[Students.DaKulas][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Latency Analysis in the AR-HUD context by
    (Finished: , Supervisor: Christian Wiesner, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(open,finished) ,
  • Location-Based Augmented Reality Gaming by
    (Finished: , Supervisor: David A. Plecher, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • New Volume Rendering Techniques for Images Registration by Peter Luecke
    (Finished: , Supervisor: Wolfgang Wein, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Lymph Node Detection and Segmentation in MRI by
    (Finished: , Supervisor: Dr. Lichao Wang, Prof. Dr. Bjoern Menze, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Mixed Reality Games and Special Effects by
    (Finished: , Supervisor: Alexander Ladikos, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Non Invasive Histology of Atherosclerotic Plaque by
    (Finished: , Supervisor: Olivier Pauly, Director: Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.DaManeuveringMetaphors][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • Implementation and Evaluation of a Human Motion Capturing System by
    (Finished: , Supervisor: Loren Schwarz, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Multiple Myeloma Staging using PET and CT images by
    (Finished: , Supervisor: Marie Bieth, Director: Prof. Dr. Bjoern Menze), ) $IF( $EXACT(finished,finished) ,
  • Needle Detection in 3D Ultrasound by Guillaume Houel
    (Finished: , Supervisor: Christian Wachinger, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Intraoperative Ophthalmic Scene Reconstruction for surgical AR by
    (Finished: , Supervisor: Jakob Weiss, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Mounting an Augmented Reality Laser Projector on an Order Picking Trolley by
    (Finished: , Supervisor: BjoernSchwerdtfeger, Director: GudrunKlinker), ) $IF( $EXACT(open,finished) ,
  • Design & Development of a Flexible User Interface for Radiation Therapy Planning by
    (Finished: , Supervisor: Kuangyu Shi, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • 2D/3D Registration of CT to an X-ray Mosaic by
    (Finished: , Supervisor: Lejing Wang, Dr. Pascal Fallavollita, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Registration between ultrasound and fluoroscopy by
    (Finished: , Supervisor: Dr. Pascal Fallavollita, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Rehabilitation game for the stability of the patient's leg by
    (Finished: , Supervisor: Ma Meng,Pascal Fallavollita, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Remote Collaboration for Field Service - Defining Specification and Prototyping - in coop with Siemens CT by
    (Finished: , Supervisor: BjoernSchwerdtfeger PierreGeorgel, Director: NassirNavab), ) $IF( $EXACT(draft,finished) ,
  • Recording and Analyzing Tracking Data for a Sheet-Metal Processing Robot by
    (Finished: , Supervisor: FlorianEchtler, Director: GudrunKlinker), ) $IF( $EXACT(running,finished) ,
  • Gameentwicklung zum Thema Informationssicherheit by
    (Finished: , Supervisor: Dr. Manuel Huber, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(open,finished) ,
  • Segmentation of Liver and Stroke Lesions in CT Scans via Phase Field Separation by
    (Finished: , Supervisor: Jana Lipkova, Prof. Dr. Bjoern Menze, Director: ), ) $IF( $EXACT(open,finished) ,
  • Serious Games by
    (Finished: , Supervisor: David Plecher, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Shape Guided Segmentation of cardiac boundaries by
    (Finished: , Supervisor: Abouzar Eslami, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Entwicklung eines 3D-Sichtfelds der Fahrzeugumgebung by
    (Finished: , Supervisor: Sebastian Spiekermann, Director: Gudrun Klinker), ) $IF( $EXACT(,finished) ,
  • [[Students.DaSiggelkowFormerWork][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Development of Silent Diffusion MR Acquisition Schemes with Reduced Distortion by
    (Finished: , Supervisor: Xin Liu; Prof. Dr. Bjoern Menze , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Simultaneous Deformation of Medical Images by Mehmet Yigitsoy
    (Finished: , Supervisor: Christian Wachinger, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Skull Stripping Method for Glioblastoma scans by
    (Finished: , Supervisor: Jana Lipkova, Prof. Dr. Bjoern Menze, Director: ), ) $IF( $EXACT(draft,finished) ,
  • Speckle tracking for endosonography by
    (Finished: , Supervisor: Tobias Reichl, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Detection and 3D Recovery of Stent Grafts in 2D Xray Sequences by Radhika Tibrewal
    (Finished: , Supervisor: Stefanie Demirci, Ali Bigdelou, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Stereo Vision with Conical and Circular Features by Veselin Dikov
    (Finished: , Supervisor: Nassir Navab, Stefan Rahmann, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Structured learning with random forests by
    (Finished: , Supervisor: Chun-Hao Paul Huang, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.DaSturm][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Werkstudententätigkeit: Entwicklung einer Testsoftware für Lokalisierungssysteme by
    (Finished: , Supervisor: Gel Han, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(,finished) ,
  • [[Students.DaToF3DReconstruction][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.DaToFSurfaceReconstruction][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Digital Tomosynthesis in Phase Contrast X-Ray Imaging by Lorenz König
    (Finished: , Supervisor: Tobias Lasser, Alberto Bravin, Paola Coan, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Vision-based Tracking of Multiple Persons in an Emergency Room by
    (Finished: , Supervisor: Diana Mateus, Loren Schwarz, Director: Prof. Nassir Navab, Dr. Marc Lazarovici), ) $IF( $EXACT(running,finished) ,
  • Gameentwicklung zum Thema Traumwelt/ Luzides Träumen by
    (Finished: , Supervisor: David A. Plecher, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Design of user evaluation of two travel metaphors in a VR environment. by Anastas Tanushev
    (Finished: , Supervisor: Amal Benzina, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(,finished) ,
  • [[Students.DaTrendsAndGaps][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Tumor Induced Brain Deformations by
    (Finished: , Supervisor: Jana Lipkova; Prof. Dr. Bjoern Menze, Director: ), ) $IF( $EXACT(open,finished) ,
  • Tumor segmentation based on dynamic PET measurement by
    (Finished: , Supervisor: Kuangyu Shi, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Bachelor- Master-/Diplomarbeit: Entwicklung eines User-Interfaces auf einem Tablet-PC zur Unterstützung von Einsatzkräften (Rettungsdienst) in Großschadensereignissen by
    (Finished: , Supervisor: Tayfur Coskun, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Bachelorarbeit: User-Interface für digitale Formulare by Christian
    (Finished: , Supervisor: Tayfur Coskun, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Super Resolution Ultrasound by
    (Finished: , Supervisor: Diana Mateus , Tassilo Klein , Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Ultrasound Imaging by
    (Finished: , Supervisor: Christian Wachinger, Athanasios Karamalis, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • 2D-3D ultrasound registration for tracking of endosonography by
    (Finished: , Supervisor: Tobias Reichl, Director: [Main.NassirNavab][Nassir Navab]]), ) $IF( $EXACT(finished,finished) ,
  • Ultrasound Registration for Brain Shift Analysis Using a Cryo-Gel Phantom by
    (Finished: , Supervisor: Tassilo Klein, Ahmad Ahmadi, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Phase Aberration Compensation for Transcranial Ultrasound by
    (Finished: , Supervisor: Tassilo Klein, Ahmad Ahmadi, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Entwicklung eines Rauminformationssystem für die TUM Universitätsbibliothek (Web 2.0) by
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Upper Body Tracking using a Time of Flight Camera for a Magic Mirror by
    (Finished: , Supervisor: Tobias Blum, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Tracking von Verkehrsteilnehmern in Multi-Sensor Systemen by
    (Finished: , Supervisor: Rudi Lindl, Leo Walchshaeusl, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Erkennung von Verkehrsteilnehmern in Videobild und Radar by
    (Finished: , Supervisor: Leonhard Walchshäusl, Rudi Lindl, Director: Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Object Detection for Industrial Inspection by
    (Finished: , Supervisor: Dr. Slobodan Ilic, Director: ), ) $IF( $EXACT(finished,finished) ,
  • Diplomarbeit: Entwicklung von virtuellen Patienten zur Evaluation unterschiedlicher Triagesysteme by Andreas Dollinger
    (Finished: , Supervisor: Simon Nestler, Manuel Huber, Florian Echtler, Director: Gudrun Klinker), ) $IF( $EXACT(open,finished) ,
  • Interactive Volume Exploration in VR using Unreal Engine by
    (Finished: , Supervisor: Jakob Weiss, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Gestyboard 3.0: Long term evaluation by Phillip Schmitt
    (Finished: , Supervisor: Tayfur Coskun, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Gestyboard 4.0: User-centered iterative development of an innovative 10-Finger-System-based text input concept for touchscreens by
    (Finished: , Supervisor: Tayfur Coskun, Director: Prof. Gudrun Klinker), ) $IF( $EXACT(finished,finished) ,
  • Diplomarbeit: Development of complex applications in a plugin-free web browser environment by Philipp Kemmeter
    (Finished: , Supervisor: Simon Nestler, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Weitwinkel-basiertes Tracking für Portable See-Through Displays by
    (Finished: , Supervisor: nn, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Entwicklung eines Widgets zur Steuerung einer Karte auf einem Multitouch Tisch by
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Bachelorarbeit: Bedienung einer 3d Applikation durch einen Wii Controller by
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(draft,finished) ,
  • Automatic assignment of paramedics on a multitouch table by
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), ) $IF( $EXACT(running,finished) ,
  • Action Recognition and Generation With RNNs by
    (Finished: , Supervisor: Huseyin Coskun, Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Adversarial Multiple Hypothesis Prediction by Ignacio Sarasúa
    (Finished: , Supervisor: Christian Rupprecht, Iro Laina, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Rohde & Schwarz: Deep feature representation with auxiliary embedding by Christoph Baur
    (Finished: , Supervisor: Shadi Albarqouni, Athanasios Karamalis, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Development of algorithms for reduction of artifacts caused by dental implants in cone-beam computer tomography by
    (Finished: , Supervisor: Dr. Peter Noël, Dr. Wolfgang Wein, Director: ), ) $IF( $EXACT(finished,finished) ,
  • A comparative study on unsupervised deep learning methods by Nour Eddin Al-Orjany
    (Finished: , Supervisor: Shadi Albarqouni, Christoph Baur, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Color Normalization for Histology Image Processing by
    (Finished: , Supervisor: Dr. Tingying Peng, Dr. Lichao Wang, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Detection of interventional tools in moving images by
    (Finished: , Supervisor: Dr. Diana Mateus, Dr. Stefanie Demirci, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Computer assisted optical biopsy for colorectal polyps. by
    (Finished: , Supervisor: Peter Klare from the Klinikum Rechts der Isar Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Balloon catheter real-time simulation (BaCaRTS) by
    (Finished: , Supervisor: Patrick Wucherer, Philipp Stefan, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Bayesian Vessel Tracking by
    (Finished: , Supervisor: Dr. Abouzar Eslami, Hamid Rezatofighi, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Vision-based Robotic Pick and Place (with KUKA Roboter GmbH) by
    (Finished: , Supervisor: DavidTan, Salvatore Virga, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Augmented Reality in Transoral Robotic Surgery for Tongue Base Cancer by
    (Finished: , Supervisor: Philippe Poignet (Prof LIRMM Montpellier), Nabil Zemiti (MC LIRMM Montpellier) , Diana Mateus, Director: ), ) $IF( $EXACT(running,finished) ,
  • RGB-D Object Detection with Deep Learning by
    (Finished: , Supervisor: Wadim Kehl, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Depth Estimation for Catheters from Single-View Interventional X-ray Imaging by Christoph Baur
    (Finished: , Supervisor: Shadi Albarqouni, Stefanie Demirci, Pascal Fallavollita, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Automatic Cell Tracking in Time Series of Holographic Microscopy Images by
    (Finished: , Supervisor: Markus Rempfler, Director: Prof. Dr. Bjoern Menze), ) $IF( $EXACT(running,finished) ,
  • Cement diffusion real-time simulation by tba
    (Finished: , Supervisor: Patrick Wucherer, Philipp Stefan, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Count rate saturation effects in handheld gamma detectors: Evaluation and influence on 3D intra-operative imaging by
    (Finished: , Supervisor: Philipp Matthies, Director: Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Accelerating solvers for column-wise blocked large-scale linear systems used in anisotropic X-ray dark-field tomography by
    (Finished: , Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(running,finished) ,
  • Sparse Data Reconstruction and its Application in Spherical Computational Sonography by Sara Hajmohammadalitorkabadi
    (Finished: , Supervisor: Christoph Hennersperger, Rüdiger Göbl, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • The Influence of Confidence-Maps on MR/US Registration by
    (Finished: , Supervisor: Bernhard Fuerst, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Crowdsourcing Games for Medical Applications by
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Feature Visualization for Deep Neural Networks by Felix Grün
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Semiautomatic Registration from optical Ad-Hoc Tracking Modalities using CAD Models by
    (Finished: , Supervisor: Christian Waechter, Director: Prof. Gudrun Klinker (Ph.D.)), ) $IF( $EXACT(finished,finished) ,
  • Active Contours for Cardiac Segmentation by Elizabeth Huaroq
    (Finished: , Supervisor: Maximilian Baust, Christian Rupprecht, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Multimodal Deep Learning by Anna Zeldin
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Deep Stereo by Christoph Kick
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Depth Recovery from Single-View Interventional X-ray Imaging by Ulrich Konrad
    (Finished: , Supervisor: Shadi Albarqouni, Stefanie Demirci, Lichao Wang, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • A framework for Detection and Depth Prediction for Medical Instruments in Interventional Imaging by
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Computation of Detectability Indices for Medical Imaging by
    (Finished: , Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(finished,finished) ,
  • Development of Pain Therapy Simulator (Facet joint infiltration) by Tba
    (Finished: , Supervisor: Patrick Wucherer, Philipp Stefan, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition by
    (Finished: , Supervisor: P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Sensor System Development for Measuring and/or Characterizing Surgical Drain Fluid Output by Mario Roser
    (Finished: , Supervisor: Christoph Hennersperger, Julia Rackerseder, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Detection Models for Emission Tomography by
    (Finished: , Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(finished,finished) ,
  • Estimation of radiation exposure by Nicola Leucht
    (Finished: , Supervisor: Patrick Wucherer; Séverine Habert, Director: ), ) $IF( $EXACT(open,finished) ,
  • Surgeon monitoring during C-arm based pre-clinical study by
    (Finished: , Supervisor: Dr. Ulrich Eck, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • A flexible framework for realistic convolution-based real-time ultrasound simulation by
    (Finished: , Supervisor: Ahmad Ahmadi, Director: ), ) $IF( $EXACT(draft,finished) ,
  • Fluid Simulation - Realistic simulation of cement flow by
    (Finished: , Supervisor: Patrick Wucherer, Philipp Stefan, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • GUI Design and Development for Angiography-Based Catheter Tracking by
    (Finished: , Supervisor: Bernhard Fuerst, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • User Interface Design and Evaluation for Multimodal Imaging by
    (Finished: , Supervisor: Bernhard Fuerst, Ralf Stauder, Thomas Wendler, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Interactive Interface for Active Learning by
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • High frequency ultrasound and micro computed tomography cochlea image fusion for intra cochlear navigation by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Camera based Head-Up-Display Brightness Control by
    (Finished: , Supervisor: Nikolas Brasch, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Hand Pose Estimation from Depth Data by
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Segmentation of blood stem cells in bright-field images by
    (Finished: , Supervisor: Carsten Marr, Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Segmentation of embryonic stem cells in fluorescent images by
    (Finished: , Supervisor: Carsten Marr, Diana Mateus, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Stem cell tracking by
    (Finished: , Supervisor: Carsten Marr and Diana Mateus, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaHuelvesAlba][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • Humanlike Robot Movement by
    (Finished: , Supervisor: Christian Rupprecht, Salvatore Virga, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Perception for humanoid and agricultural robotics by
    (Finished: , Supervisor: Federico Tombari Daniel Wahrmann, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Parallax-free Xray stitching using depth based pose estimation by Christian Grimm
    (Finished: , Supervisor: Severine Habert Pascal Fallavollita, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Independent Component Analysis of Positron Emission Tomography Data by
    (Finished: , Supervisor: Dr. Igor Yakushev, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Cancer Matestasis detection in Lymph nodes by Amil George & Bharti Munjal
    (Finished: , Supervisor: Shadi Albarqouni, Stefanie Demirci, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Crowdsourcing in the Medical Context by Christoph Baur
    (Finished: , Supervisor: Shadi Albarqouni,Stefanie Demirci, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Image Formation Models in Lightfield (Plenoptic) Microscopy Using Wave Optics by
    (Finished: , Supervisor: Anca Stefanoiu, Director: Tobias Lasser), ) $IF( $EXACT(open,finished) ,
  • MR Image Synthesis by
    (Finished: , Supervisor: Christian Wachinger, Director: Christian Wachinger, Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Deep Intrinsic Image Decomposition by Udo Dehm
    (Finished: , Supervisor: Christian Rupprecht, Iro Laina, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Invariant Landmark Detection for highly accurate positioning by
    (Finished: , Supervisor: Jakob Mayr, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Evaluation of iterative solving methods for the statistical reconstruction of lightfield microscopy data by
    (Finished: , Supervisor: Anca Stefanoiu, Director: Tobias Lasser), ) $IF( $EXACT(draft,finished) ,
  • Automatic Early Detection of Keratoconus by
    (Finished: , Supervisor: Shadi Albarqouni, Ali Nasseri, Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaKeil][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(finished,finished) ,
  • Keypoint Learning by
    (Finished: , Supervisor: Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Kyphoplasty balloon simulation by
    (Finished: , Supervisor: Patrick Wucherer, Philipp Stefan, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Instrument Tracking for Safety and Surgical View Optimization in Laparoscopic Surgery by
    (Finished: , Supervisor: Dr. Christoph Hennersperger, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Real-time large-scale SLAM from RGB-D data by
    (Finished: , Supervisor: Alexander Ladikos, Director: ), ) $IF( $EXACT(,finished) ,
  • [[Students.MaLatein][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Real-Time Volumetric Fusion for iOCT by
    (Finished: , Supervisor: Jakob Weiss, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Understanding and optimization of a low energy X-ray generator for intra-operative radiation therapy by
    (Finished: , Supervisor: Philipp Matthies, Director: affiliate Prof. Dr. Michael Friebe), ) $IF( $EXACT(running,finished) ,
  • MS Lesion Segmentation in multi-channel subtraction images by Sarthak Gupta
    (Finished: , Supervisor: Christoph Baur, Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Simulation of Muscle Activity for an Augmented Reality Magic Mirror by
    (Finished: , Supervisor: Ma Meng, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Tracking using Autoencoders and Manifolds by
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Marker-based inside-out tracking for medical applications using a single optical camera by Shih Chen-Hsuan
    (Finished: , Supervisor: Philipp Matthies
    Benjamin Frisch, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Medical Augmented Reality with SLAM-based perception by
    (Finished: , Supervisor: Federico Tombari, Ulrich Eck, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Medical Image Synthesis using Generative Adversarial Networks (GANs) by M. Tarek Shaban
    (Finished: , Supervisor: Shadi Albarqouni, Christoph Baur, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Creating Diagnostic Model for Assessing the Success of Treatment for Eye Melanoma by
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Modeling brain connectivity from multi-modal imaging data by
    (Finished: , Supervisor: Dr. Igor Yakushev & Dr. Kuangyu Shi, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • MR integration of an intra-operative gamma detector and evaluation of its potential for radiation therapy by
    (Finished: , Supervisor: Philipp Matthies, Director: affiliate Prof. Dr. Michael Friebe), ) $IF( $EXACT(running,finished) ,
  • Multi-modal Deformable Registration in the Context of Neurosurgical Brain Shift by Stefan Matl
    (Finished: , Supervisor: Christoph Hennersperger, Julia Rackerseder, Dr. Benjamin Frisch, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Registration of Multi-View Ultrasound with Magnetic Resonance Images by
    (Finished: , Supervisor: Bernhard Fuerst, Wolfgang Wein, Ahmad Ahmadi, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Multiple Screen Detection for Eye-Tracking Based Monitor Interaction by
    (Finished: , Supervisor: Ralf Stauder, Mathias Magg (MITI), Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • New Mole Detection by
    (Finished: , Supervisor: Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Real-Time Simulation of 3D OCT Images by
    (Finished: , Supervisor: Jakob Weiss, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Seamless stitching for 4D opto-acoustic imaging by Suhanyaa Nitkunanantharajah
    (Finished: , Supervisor: Christoph Hennersperger; Daniel Razansky, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Computer-aided Early Diagnosis of Pancreatic Cancer based on Deep Learning by
    (Finished: , Supervisor: Dr. Kuangyu Shi, Director: Prof. Dr. Bjoern Menze), ) $IF( $EXACT(open,finished) ,
  • Automatic Detection of Probe Count and Size in Digital Pathology by
    (Finished: , Supervisor: Dr. Christoph Hennersperger, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Siemens AG: X-ray PoseNet - Recovering the Poses of Portable X-Ray Device with Deep Learning by Mai Bui
    (Finished: , Supervisor: Shadi Albarqouni, Slobodan Ilic, Director: Prof. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Predicate-based PET-MR visualization by Faisal Ibne Mozhher
    (Finished: , Supervisor: Christian Schulte zu Berge? Benjamin Frisch, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • Full color surgical 3D printed tractography by Antonio Miguel Luque González
    (Finished: , Supervisor: Christoph Hennersperger, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Extrinsics calibration of multiple 3D sensors by
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Radiation Exposure Estimation of full surgical procedures using CamC by
    (Finished: , Supervisor: Séverine Habert, Ulrich Eck, Director: Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • A New Computational Algorithm for Treatment Planning of Targeted Radionuclide Therapy by
    (Finished: , Supervisor: Dr. Kuangyu Shi, Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Deep Learning for Semantic Segmentation of Human Bodies by
    (Finished: , Supervisor: Helisa Dhamo, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Manifold-based regularization of spherical functions in anisotropic X-ray dark-field tomography by
    (Finished: , Supervisor: Matthias Wieczorek, Director: Tobias Lasser), ) $IF( $EXACT(running,finished) ,
  • Robot-Assisted Vitreo-retinal Surgery by Monica Azqueta
    (Finished: , Supervisor: Dr. Abouzar Eslami, Ali Nasseri, Director: Nassir Navab, Prof. Alois Knol), ) $IF( $EXACT(,finished) ,
  • [[Students.MaRoboticCatheterUS][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(running,finished) ,
  • Optimal planning and data acquisition for robotic ultrasound-guided spinal needle injection by Sebastian Raquena Witzig
    (Finished: , Supervisor: Dr. Christoph Hennersperger, Salvatore Virga, Javier Esteban, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaSchwarzmann][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(running,finished) ,
  • Segmentation of Fractured Bones by Deepak Murali
    (Finished: , Supervisor: Dr. Abouzar Eslami, Dr. Jan Bauer, Dr. Peter Noël, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development and implementation of 3D parallelized series expansion methods for differential phase contrast tomography by
    (Finished: , Supervisor: Guillaume Potdevin, Dieter Hahn and Tobias Lasser, Director: Franz Pfeiffer and Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Development and implementation of a regularization framework for differential phase contrast tomography by
    (Finished: , Supervisor: Guillaume Potdevin, Dieter Hahn and Tobias Lasser, Director: Franz Pfeiffer and Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Siemens AG: Detection of Complex Stents in Live Fluoroscopic Images for Endovascular Aneurysm Repair by Wei Ni
    (Finished: , Supervisor: Shadi Albarqouni, Stefanie Demirci, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Interventional Stent Deformation Tracking by
    (Finished: , Supervisor: Stefanie Demirci, Director: Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Super Resolution Depth Maps by
    (Finished: , Supervisor: Christian Rupprecht, Federico Tombari, Director: Prof. Nassir Navab), ) $IF( $EXACT(draft,finished) ,
  • Surgical Workflow Software Infrastructure Based on Business Workflow Modeling Standards by
    (Finished: , Supervisor: Ralf Stauder, Daniel Ostler (MITI), Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaTRUSMROrganMotion][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • Mobile Telephony Management in the Surgery Room by
    (Finished: , Supervisor: Dr. Armin Schneider (MITI), Ralf Stauder, Director: Prof. Hubertus Feußner (MITI), Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaThompson][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(open,finished) ,
  • Tracking Add-On Camera System for gamma and ultrasound probes by
    (Finished: , Supervisor: Philipp Matthies, Director: affiliate Prof. Dr. Michael Friebe), ) $IF( $EXACT(,finished) ,
  • [[Students.MaTrackGamUs][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(running,finished) ,
  • Tracking and Visualization in ioRT by
    (Finished: , Supervisor: Philipp Matthies, Director: affiliate Prof. Dr. Michael Friebe), ) $IF( $EXACT(open,finished) ,
  • Automatic acoustic coupling for robotic ultrasound imaging by
    (Finished: , Supervisor: Christoph Hennersperger, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(open,finished) ,
  • Parallel Tracking and Mapping in UbiTrack by TobiasWeigl
    (Finished: , Supervisor: M.Sc.-Inf Frieder Pankratz, Director: Prof. Gudrun Klinker, PhD.), ) $IF( $EXACT(running,finished) ,
  • Calculation of signal intensity-time curves from MR images of the beating heart by Radhika Tibrewal
    (Finished: , Supervisor: Dr. Abouzar Eslami from CAMP
    affil. Prof. Dr. Michael Friebe as liasion from CAMP and TUM-IAS, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • A Deep Learning Approach to Synthesize Virtual CT based on Transmission Scan in hybrid PET/MR by Deepa Gunashekar
    (Finished: , Supervisor: Sailesh Conjeti, Kuangyu Shi, Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Weakly-Supervised Anomaly Detection assisted by Attention Models by Amelia Jimenez Sanchez
    (Finished: , Supervisor: Shadi Albarqouni, Diana Mateus, Director: Prof. Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Webly supervised human activity recognition by Ansh Kapil
    (Finished: , Supervisor: Federico Tombari, Lamberto Ballan; Christian Rupprecht, Director: Prof. Nassir Navab), ) $IF( $EXACT(,finished) ,
  • [[Students.MaWesemann][]] by
    (Finished: , Supervisor: , Director: ), ) $IF( $EXACT(draft,finished) ,
  • X-ray In-Depth Decomposition by
    (Finished: , Supervisor: Shadi Albarqouni, Director: Prof. Dr. Nassir Navab), ) $IF( $EXACT(running,finished) ,
  • X-ray Depth Map Reconstruction for Improved Interventional Visualization by Ulrich Konrad
    (Finished: , Supervisor: Stefanie Demirci, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • Tomographic reconstruction and visualization of x-ray scattering tensor data by Hessam Roodaki
    (Finished: , Supervisor: Andreas Malecki, Matthias Wieczorek, Tobias Lasser, Director: Nassir Navab), ) $IF( $EXACT(finished,finished) ,
  • 3D augmented virtuality sketching by Violin Yanev
    (Finished: , Supervisor: Eva Artinger, Director: Gudrun Klinker), )


  • Edit | Attach | Refresh | Diffs | More | Revision r1.12 - 15 Nov 2010 - 16:05 - MarcusToennis

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