ResearchIssueRegVis

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

Research in Registration and Visualization

Table of Content

Contact Person and Group Coordination

Darko Zikic
Nassir Navab




Research Projects in Registration/Visualization

Estimation of Flow Parameters from X-ray Data

Estimation of Flow Parameters from X-ray Data

This project focuses on the quantification of blood flow based on 2D and 3D angiographic X-ray image data, which is of particular interest during minimally invasive interventional procedures such as recanalizations of stenotic vessels and embolizations of arteries that feed tumors or vascular malformations in the patient's brain, for example. Our projects cover the evaluation of model-based approaches involving CFD (computational fluid dynamics) simulations as well as methods that aim at estimating the optical flow in the images and deriving quantitative blood flow information from these results.
Shape Guided Segmentation of Cardiac Boundaries

Shape Guided Segmentation of Cardiac Boundaries

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.
patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

patient-Specific Translational research on Atherosclerosis and Diagnosis (STAnD)

Advanced imaging in Head Mounted Displays (HMD) for Patients with Age-Related Macular Degeneration

Advanced imaging in Head Mounted Displays (HMD) for Patients with Age-Related Macular Degeneration

Age-related macular degeneration (AMD) is one of the leading causes of low vision worldwide without a medical solution. Nevertheless, enhancement of people's vision by means of mediated reality is conceivable. This project presents a head-mounted magnification system to enhance visual perception acquired with peripheral vision. A hybrid magnification technique is adjusted and implemented on a head-mounted display. Moreover, a system for modeling and correcting distorted vision is proposed. The system obtains a correction model by means of a deformable grid. To evaluate the system, a method for simulating distorted vision is applied. By superimposing the model on OCT macular images, it is suitable to identify macular features, which could help on the development of an automatic correction method.
Registration of Angiographic Images

Registration of Angiographic Images

Angiographic images visualize vascular structure in different modalities like X-Ray, CT, or MR data sets. In many medical applications, a registration and proper visualization of the data sets, especially the vasculature is useful for a better navigation. The focus of this project lies on 2D/3D registration of angiographic data where intensity-based, feature-based, and hybrid approaches are evaluated, the latter two of them requiring an accurate 2D and 3D segmentation of the data. The main clinical partner is the radiology department of the Universitätsklinikum Großhadern (Ludwig-Maximilian Universität München) , industrial partner is Siemens Medical Solutions, Forchheim.
Reconstruction and Registration of Histology and Phase Contrast Images for Clinical Validation of Imaging Modalities

Reconstruction and Registration of Histology and Phase Contrast Images for Clinical Validation of Imaging Modalities

Before its introduction into the hospital, a new imaging modality has to be validated. In other words, appearing structures need to be correlated to the imaged tissues. Such a cross validation is only meaningful when performed against the gold standard which is histology. Currently, cross validation is performed by qualitative comparison of 3D datasets to 2D histology slices. Since the acquisition of a consistent 3D histology volume is a challenging task, its comparison to the corresponding dataset always remained qualitative.

The classic histology procedure can be divided in four steps: pre processing, cutting, post processing and imaging of the tissues. In the first step, the sample is chemically processed to preserve the tissues and is then embedded in a paraffin block. By using a microtome, it is cut in very thin slices, and put on a glass slide. During post processing the sample is stained to enhance the structures of interest. The imaging is performed with a camera mounted in a microscope, or with a dedicated scanner. Several difficulties inherent to this process can have a dramatic influence on the quality of the reconstructed histology volume. For instance, since the cutting process is done manually, problems like flipping, bending or ripping of the slides may happen. If the knife starts to wear off, some banding will appear over the slices. Moreover, a few slices could be missing. Finally since the staining color is time dependent, variation in the color of the slices can occur.

In this project, we propose to improve the histology procedure and to develop methods towards a consistent reconstruction of 3D histology volumes.
Navigated Bronchoscopy

Navigated Bronchoscopy

A common task during broncoscopy procedures is to biopsy peripheral lung tumors. The video bronchoscope is not capable to reach the peripheral lung nodes, but only the biopsy needle. Thus there is no video feedback, but only feedback of the current location of the biopsy tool by fluoroscopy imaging during the intervention. This exposes patient and surgical staff to additional radiation. Another drawback is that tumors can not be visualized on the fluoroscope images and they are only a projection, thus do not report the three dimensional position of the biopsy tool. Electromagnetic tracking is capable of tracking the tip of flexible instrument. A field generator with three orthogonal coils introduces current and thus generates a magnetic field. A sensor composed also of three orthogonal coils is capable to estimate its position and orientation with respect to a coordinate system defined by the field generator. Currently we investigate the combination of all available information for navigation and solutions to represent it in one unified user interface. This includes the measurements of the electromagnetic tracking system, the c-arm, techniques of virtual bronchoscopy, and other data. Furthermore, clinical evaluation is conducted. We define the clinical endpoint and show through studies that the procedure will benefit from the usage of the navigation system.
Mosaicing

Mosaicing

The creation of mosaics is an interesting application, which leads to many challenging theoretical and practical problems. In this project, we are mainly focusing on viewing the mosaicing as a multiple image alignment task. Therefore, pairwise registration methods with a consecutive normalization and simultaneous registration techniques are in focus. Espcically the simultaneous alignment of images for mosaicing seems very promising. We earlier developed a new type of multivariate extension for similarity measures, which led to a whole new class metrics. They are specifically adapted for their usage in mosaicing, but can also be used for general multiple image alignment tasks, e.g. population studies. Our main interest lied so far on the combination of several ultrasound images. To this end, we are benifiting from a quite recent development in ultrasonographic research; the development of advanced 2D array ultrasound transducers. Their new fabrication process allows for higher resolution images with a higher quality resulting from the increased frequency spectrum that they can be operated with. The instantaneously acquired ultrasound volumes serve as input for our mosaicing framework, where they will be compounded to one lager volume.
Intra-operative Imaging and Navigation for Minimal Invasiveness in Head and Neck Cancer

Intra-operative Imaging and Navigation for Minimal Invasiveness in Head and Neck Cancer

Intra-operative Imaging and Navigation for Guidance in Neurosurgical Procedures

Intra-operative Imaging and Navigation for Guidance in Neurosurgical Procedures

Assessment of Fluid Tissue Interaction Using Multi-Modal Image Fusion for Characterization and Progression of Coronary Atherosclerosis

Assessment of Fluid Tissue Interaction Using Multi-Modal Image Fusion for Characterization and Progression of Coronary Atherosclerosis

Coronary artery diseases such as atherosclerosis are the leading cause of death in the industrialized world. In this project, we develop computational tools for segmentation and registration problems on intravascular images including IVUS (Intravascular Ultrasound) and OCT (Optical Coherence Tomography). One sample component of this project is Automatic Stent Implant Follow-up from Intravascular OCT Pullbacks. The stents are automatically detected and their distribution is analyzed for monitoring of the stents: their malpositioning and/or tissue growth over stent struts.
Deformable Guide Wire Tracking

Deformable Guide Wire Tracking

These days, X-ray fluoroscopic imaging is the modality used most widely to guide physicians in angiographic interventions. Current guidance procedures are based on a roadmap, e.g. a digital subtracted angiography (DSA) acquired from a fixed viewpoint and the injection of contrast agent to visualize the current vessel anatomy. Such roadmaps cannot directly be blended with the fluoroscopic sequence due to misalignment caused by respiratory motion. A fundamental step toward a successful integration of any navigation application into clinical routine is the estimation and compensation of respiratory motion. We propose a novel method for deformable tracking of multiple ridge segments based on a MAP-MRF formulation and efficient discrete optimization. Ridges are modeled as B-Spline curves which allows us to apply smooth deformations based on a minimal number of parameters. Our tracking framework is well adapted to the noisy domain of fluoroscopic imaging and the handling of multiple segments.
Motion Compensation for Catheterizations

Motion Compensation for Catheterizations

In many minimally-invasive interventions, catheters are inserted into the body and guided to a region of interest with the help of fluoroscopic imaging (low-dose X-ray image sequences). Due to patient motion, the navigation can be disturbed, and the physician needs a longer time for treatment. This is hazardous in terms of radiation for both, physician and patient. In order to overcome these problems, suitable image-based compensation methods to resolve (non-) rigid motion can be applied. In this project, patient motion is analyzed and suitable compensation algorithms are developed.
Simulated Ultrasound

Simulated Ultrasound

We are simulating Ultrasound images from CT volumes by assuming a correlation between Hounsfield units and acoustic impedance. Rays are cast trough the CT volume to simulate the US image formation. Simulated Ultrasound from CT can be used for CT/Ultrasound registration by comparing a real US image to simulated ones. Another application of simulated US is training.
3D user interfaces for medical interventions

3D user interfaces for medical interventions

This work group aims at practical user interfaces for 3D imaging data in surgery and medical interventions. The usual monitor based visualization and mouse based interaction with 3D data will not present acceptable solutions. Here we study the use of head mounted displays and advanced interaction techniques as alternative solutions. Different issues such as depth perception in augmented reality environment and optimal data representation for a smooth and efficient integration into the surgical workflow are the focus of our research activities. Furthermore appropriate ways of interaction within the surgical environment are investigated.
Port Placement in Minimally Invasive Endoscopic Surgery

Port Placement in Minimally Invasive Endoscopic Surgery

Optimal port placement is a delicate issue in minimally invasive endoscopic surgery. A good choice of the instruments' and endoscope's ports can avoid time-consuming consecutive new port placement. We present a novel method to intuitively and precisely plan the port placement. The patient is registered to its pre-operative CT by just moving the endoscope around fiducials, which are attached to the patient's thorax and are visible in its CT. Their 3D positions are automatically reconstructed. Without prior time-consuming segmentation, the pre-operative CT volume is directly rendered with respect to the endoscope or instruments. This enables the simulation of a camera flight through the patient's interior along the instruments' axes to easily validate possible ports.
Laparoscope Augmentation for Minimally Invasive Liver Resection

Laparoscope Augmentation for Minimally Invasive Liver Resection

In recent years, an increasing number of liver tumor indications were treated by minimally invasive laparoscopic resection. Besides the restricted view, a major issue in laparoscopic liver resection is the precise localization of the vessels to be divided. To navigate the surgeon to these vessels, pre-operative imaging data can hardly be used due to intra-operative organ deformations caused by appliance of carbon dioxide pneumoperitoneum and respiratory motion.

Therefore, we propose to use an optically tracked mobile C-arm providing cone-beam computed tomography imaging capability intra-operatively. After patient positioning, port placement, and carbon dioxide insufflation, the liver vessels are contrasted and a 3D volume is reconstructed during patient exhalation. Without any further need for patient registration, the volume can be directly augmented on the live laparoscope video. This augmentation provides the surgeon with essential aid in the localization of veins, arteries, and bile ducts to be divided or sealed.

Current research focuses on the intra-operative use and tracking of mobile C-arms as well as laparoscopic ultrasound, augmented visualization on the laparoscope's view, and methods to synchronize respiratory motion.
Deformable Registration

Deformable Registration

Objects change their form over time. Undoing these changes makes the two images of the same object more comparable. This process of finding a transformation of one of the images, such that it gets as similar as possible to the other one is called deformable registration. Deformable registration can lead to improvement of many medical procedures, both diagnostic and interventional. The main reason is that deformations of the human body are present in many settings and for many imaging techniques. Always, when these deformations occur between different scans, there is potential for the current methods to be improved by using deformable registration techniques. Example applications include follow-up studies, image fusion from different modalities and treatment planning. The focus of our work is two-fold: we try to understand and improve the existing registration methods and to solve clinical problems by applying the developed methods.

Related Publications

2013
M. Yigitsoy, N. Navab
Structure Propagation for Image Registration
IEEE Transactions on Medical Imaging, to appear. (bib)
T. Reichl, X. Luo, M. Menzel, H. Hautmann, K. Mori, N. Navab
Hybrid electromagnetic and image-based tracking of endoscopes with guaranteed smooth output
International Journal of Computer Assisted Radiology and Surgery, to appear. Available online. (bib)
T. Aksoy, S. Demirci, M. Degertekin, N. Navab, G. Unal
Template-based CTA X-ray Angio Rigid Registration of Coronary Arteries in Frequency Domain
SPIE Medical Imaging, Orlando, Florida, USA, February 2013 (bib)
S. Demirci, M. Baust, O. Kutter, F. Manstad-Hulaas, H-H. Eckstein, N. Navab
Disocclusion-based 2D-3D Registration for Aortic Interventions
Computers in Biology and Medicine, Volume 43, Issue 4, 1 May 2013, Pages 312-322 (bib)
2012
A. Ahmadi, T. Klein, A. Plate, K. Bötzel, N. Navab
Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A feasibility study using 3D transcranial ultrasound of the midbrain.
Workshop Bildverarbeitung fuer die Medizin, Berlin (GER), March 18-20, 2012 (bib)
O. K. Oye, W. Wein, D. M. Ulvang, K. Matre, I. Viola
Real Time Image-Based Tracking of 4D Ultrasound Data
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012), Nice, France, October 2012 (bib)
J. Beitzel, A. Ahmadi, A. Karamalis, W. Wein, N. Navab
Ultrasound Bone Detection Using Patient-Specific CT Prior
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, USA, September 1 2012. (bib)
V. Solteszova, L.E.S. Helljesen, W. Wein, O.H. Gilja, I. Viola
Lowest-Variance Streamlines for Filtering of 3D Ultrasound
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2012, Norrköping, Sweden, September 2012 (bib)
A. Katouzian, A. Karamalis, A. Konig, S. Carlier, N. Navab
Ambiguity in detection of necrosis in IVUS plaque characterization algorithms
European Society of Cardiology, Munich, Germany, 2012 (bib)
A. Karamalis, W. Wein, T. Klein, N. Navab
Ultrasound Confidence Maps using Random Walks
Medical Image Analysis, 16, 6, 1101 - 1112, 2012, DOI: http://dx.doi.org/10.1016/j.media.2012.07.005 (bib)
A. Katouzian, A. Karamalis, , A. Eslami, N. Navab
IVUS-Histology Image Registration
5th Workshop on Biomedical Image Registration, Nashville, USA, July, 2012 (bib)
T. Reichl, I. Gergel, M. Menzel, H. Hautmann, I. Wegner, H.P. Meinzer, N. Navab
New methods for tracking error compensation in transbronchial interventions
Proceedings of Computer Assisted Radiology and Surgery (CARS 2012), Pisa, Italy, June 2012 (bib)
C. Wachinger, N. Navab
A Contextual Maximum Likelihood Framework for Modeling Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island (USA), June 2012. (bib)
Y. Yagi, M. Groher, M. Feuerstein, M. Onozato, H. Heibel, N. Navab
Overcoming Challenges in Histology 3D Imaging
11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy, Venice, Italy, June 2011. (bib)
A. Karamalis, A. Katouzian, S. Carlier, N. Navab
Confidence Estimation in IVUS Radio-Frequency Data with Random Walks
In Proc. 9th IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012 (bib)
T. Reichl, I. Gergel, M. Menzel, H. Hautmann, I. Wegner, H.P. Meinzer, N. Navab
Motion compensation for bronchoscope navigation using electromagnetic tracking, airway segmentation, and image similarity
Proceedings of Bildverarbeitung fuer die Medizin (BVM 2012), Berlin, Germany, March 2012 (bib)
A. Katouzian, A. Karamalis, A. Laine, N. Navab
A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images
Bildverarbeitung für die Medizin, Berlin, 2012, Germany (bib)
T. Reichl, I. Gergel, M. Menzel, H. Hautmann, I. Wegner, H.P. Meinzer, N. Navab
Real-time motion compensation for EM bronchoscope tracking with smooth output - ex-vivo validation
SPIE Medical Imaging, San Diego, California, USA, February 2012. (bib)
2011
M. Yigitsoy, C. Wachinger, N. Navab
Temporal Groupwise Registration for Motion Modeling
Information Processing in Medical Imaging (IPMI), July 3-8 2011. (bib)
D. Zikic, M. Baust, A. Kamen, N. Navab
A General Preconditioning Scheme for Difference Measures in Deformable Registration
IEEE International Conference on Computer Vision (ICCV) in Barcelona, Spain, November 06-13 2011. (bib)
M. Feuerstein, H. Heibel, J. Gardiazabal, N. Navab, M. Groher
Reconstruction of 3-D Histology Images by Simultaneous Deformable Registration
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011.
The original publication is available online at www.springerlink.com
(bib)
W. Wein, A. Ladikos
Detecting Patient Motion in Projection Space for Cone-beam Computed Tomography
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011 (bib)
T. Reichl, X. Luo, M. Menzel, H. Hautmann, K. Mori, N. Navab
Deformable Registration of Bronchoscopic Video Sequences to CT Volumes with Guaranteed Smooth Output
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011. (bib)
X. Luo, M. Feuerstein, T. Kitasaka, K. Mori
Robust Bronchoscope Motion Tracking Using Sequential Monte Carlo Methods in Navigated Bronchoscopy: Dynamic Phantom and Patient Validation
International Journal of Computer Assisted Radiology and Surgery. (bib)
X. Luo, M. Feuerstein, T. Kitasaka, K. Mori
On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking
SPIE Medical Imaging, Orlando, Florida, USA, February 2011 (bib)
X. Luo, M. Feuerstein, T. Kitasaka, K. Mori
A novel bronchoscope tracking method for bronchoscopic navigation using a low cost optical mouse sensor
SPIE Medical Imaging, Orlando, Florida, USA, February 2011 (bib)
2010
B. Glocker, H. Heibel, N. Navab, P. Kohli, C. Rother
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
11th European Conference on Computer Vision (ECCV), Crete, Greece, September 5-11 2010. (bib)
A. Sotiras, Y. Ou, B. Glocker, C. Davatzikos, N. Paragios
Simultaneous Geometric - Iconic Registration
Medical Image Computing and Computer Assisted Intervention (MICCAI), Bejing, China, September 20-24 2010. (bib)
D. Zikic, B. Glocker, O. Kutter, M. Groher, N. Komodakis, A. Kamen, N. Paragios, N. Navab
Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization
Medical Image Analysis, 22 April, 2010. (bib)
O. Fluck, C. Vetter, W. Wein, A. Kamen, B. Preim, R. Westermann
A survey of medical image registration on graphics hardware
Computer Methods and Programs in Biomedicine, November 2010 (bib)
X. Luo, M. Feuerstein, D. Deguchi, T. Kitasaka, T. Hirotsugu, K. Mori
Development and Comparison of New Hybrid Motion Tracking for Bronchoscopic Navigation
Medical Image Analysis. Special issue on Computer Assisted Interventions. Accepted for publication, 17 November 2010. (bib)
X. Luo, T. Reichl, M. Feuerstein, T. Kitasaka, K. Mori
Modified Hybrid Bronchoscope Tracking Based on Sequential Monte Carlo Sampler: Dynamic Phantom Validation
Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010 (bib)
B. Glocker, N. Komodakis, N. Paragios, N. Navab
Non-rigid Registration using Discrete MRFs: Application to Thoracic CT Images
Workshop Evaluation of Methods for Pulmonary Image Registration in conjunction with Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 24 2010 (bib)
D. Zikic, M. Baust, A. Kamen, N. Navab
Generalization of Deformable Registration in Riemannian Sobolev Spaces
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in Beijing, China, September 20-24 2010. (bib)
O. Pauly, H. Heibel, N. Navab
A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences.
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), Beijing, China, September 2010 (bib)
X. Luo, M. Feuerstein, T. Reichl, T. Kitasaka, K. Mori
An Application Driven Comparison of Several Feature Extraction Algorithms in Bronchoscope Tracking During Navigated Bronchoscopy
5th International Workshop on Medical Imaging and Augmented Reality, Sep 2010, Beijing (bib)
M. Feuerstein, T. Sugiura, D. Deguchi, T. Reichl, T. Kitasaka, K. Mori
Marker-free Registration for Electromagnetic Navigation Bronchoscopy under Respiratory Motion
5th International Workshop on Medical Imaging and Augmented Reality, Sep 2010, Beijing (bib)
D. Zikic, A. Kamen, N. Navab
Revisiting Horn and Schunck: Interpretation as Gauß-Newton Optimisation
British Machine Vision Conference (BMVC) in Aberystwyth, Wales, 31th August - 3rd September 2010. (bib)
C. Wachinger, N. Navab
Manifold Learning for Multi-Modal Image Registration
21st British Machine Vision Conference (BMVC), Aberystwyth, United Kingdom, August 31 - September 3 2010. (bib)
F. Manstad-Hulaas, G. A. Tangen, S. Demirci, M. Pfister, S. Lydersen, T. A. Nagelhus Hernes
Endovascular Image-Guided Navigation - Validation of Two Volume-Volume Registration Algorithms
Minimally Invasive Therapy & Allied Technologies 20(5), pp. 282 - 289, 2011 (bib)
D. Zikic, A. Kamen, N. Navab
Unifying Characterization of Deformable Registration Methods Based on the Inherent Parameterization
International Workshop on Biomedical Image Registration (WBIR), in Lübeck, Germany, July 11-13 2010. (bib)
M. Groher, M. Baust, D. Zikic, N. Navab
Monocular Deformable Model-to-Image Registration of Vascular Structures
International Workshop on Biomedical Image Registration (WBIR), in Lübeck, Germany, July 11-13 2010. (bib)
C. Wachinger, N. Navab
Structural Image Representation for Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, June 2010. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)
D. Zikic, A. Kamen, N. Navab
Natural Gradients for Deformable Registration
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in San Francisco, CA, USA, June 13-18 2010. (bib)
C. Weiss, M. Seitz, K. Herrmann, A. Graser, B. Kiefer, M. Requardt, J. Fehre, R. Nanke, M. Diallo, A. Kamen, W. Wein
MR-US Fusion for Targeted Prostate Biopsy
International Society for Magnetic Resonance in Medicine (ISMRM) conference, Stockholm, Sweden, May 2010 (bib)
W. Wein, O. Kutter, A. Aichert, D. Zikic, A. Kamen, N. Navab
Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound
IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, The Netherlands, April 14 - 17 2010. (bib)
T. Reichl, O. Kutter, Benedikt Schultis, M. Menzel, H. Hautmann, N. Navab
Video-basiertes Tracking eines Bronchoskops
Proceedings of Bildverarbeitung fuer die Medizin (BVM 2010), Aachen, Germany, March 2009 (bib)
X. Luo, M. Feuerstein, T. Sugiura, T. Kitasaka, K. Mori, K. Imaizumi, Y. Hasegawa
Towards hybrid bronchoscope tracking under respiratory motion: evaluation on a dynamic motion phantom
SPIE Medical Imaging, San Diego, California, USA, February 2010 (bib)
D. Zikic, B. Glocker, O. Kutter, M. Groher, N. Komodakis, A. Kamen, N. Paragios, N. Navab
Markov Random Field Optimization for Intensity-based 2D-3D Registration
SPIE Medical Imaging, San Diego, California, USA, 13-18 February 2010 (bib)
T. Sugiura, M. Feuerstein, T. Kitasaka, Y. Suenaga, K. Imaizumi, Y. Hasegawa, K. Mori
A study on a breathing motion compensation for bronchoscope tracking based on bronchial tree structure information
IEICE Medical Imaging, Naha, Japan, January 2010 (bib)
2009
A. Sotiras, N. Komodakis, B. Glocker, J.-F. Deux, N. Paragios
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics
Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 20-24 2009. (bib)
B. Glocker, N. Komodakis, N. Navab, G. Tziritas, N. Paragios
Dense Registration with Deformation Priors
Information Processing in Medical Imaging (IPMI), Williamsburg, VA, USA, July 5-10 2009. (bib)
M. Baust, S. Demirci, N. Navab
Stent Graft Removal for Improving 2D-3D Registration
IEEE International Symposium on Biomedical Imaging (ISBI), Boston, MA, USA, June 28-July 1 2009. (bib)
B. Glocker, N. Komodakis, N. Paragios, N. Navab
Approximated Curvature Penalty in Non-rigid Registration using Pairwise MRFs
5th International Symposium on Visual Computing (ISVC), Las Vegs, Nevada, USA, Nov 30-Dec 2 2009. (bib)
T. Kugo, M. Feuerstein, T. Kitasaka, K. Mori
A study on construction of respiratory lung motion model for bronchoscope guidance system
18th Meeting of the Japan Society of Computer Assisted Surgery, Tokyo, Japan, November 2009 (bib)
T. Sugiura, M. Feuerstein, T. Kitasaka, K. Imaizumi, Y. Hasegawa, K. Mori
A study on a method for bronchoscope tracking considering breathing motion by using bronchial structure
18th Meeting of the Japan Society of Computer Assisted Surgery, Tokyo, Japan, November 2009 (bib)
X. Luo, M. Feuerstein, T. Kitasaka, M. Mori, H. Takabatake, H. Natori, K. Imaizumi, Y. Hasegawa, K. Mori
Improvement of Bronchoscope Tracking by Combining SURF Features Based Camera Motion Estimation and Image Registration
18th Meeting of the Japan Society of Computer Assisted Surgery, Tokyo, Japan, November 2009 (bib)
W. Wein, E. Camus, M. John, M. Diallo, C. Duong, A. Al-Ahmad, R. Fahrig, A. Khamene, C. Xu
Towards Guidance of Electrophysiological Procedures with Real-time 3D Intracardiac Echocardiography Fusion to C-arm CT
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2009), London, UK, September 2009 (bib)
C. Wachinger, N. Navab
Alignment of Viewing-Angle Dependent Ultrasound Images.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24 2009 (bib)
O. Pauly, N. Padoy, H. Poppert, L. Esposito, H-H. Eckstein, N. Navab
Towards Application-specific Multi-modal Similarity Measures: a Regression Approach.
MICCAI Workshop on Probabilistic Models in Medical Image Analysis (PMMIA), London, UK, September 2009. (bib)
O. Kutter, W. Wein, N. Navab
Multi-modal registration based Ultrasound Mosaicing
Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 20-24 2009 (bib)
A. Khamene, D. Zikic, M. Diallo, T. Boettger, E. Rietzel
A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy.
Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 20-24 2009. (bib)
Benedikt Schultis
Video-based Bronchoscope Tracking for Navigated Bronchoscopy
Bachelor's Thesis. Technische Universität München, September 2009 (bib)
X. Luo, M. Feuerstein, D. Deguchi, T. Kitasaka, Y. Suenaga, K. Imaizumi, Y. Hasegawa, K. Mori
SIFT Feature-based Motion Estimation for Bronchoscope Tracking
28th Meeting of the Japanese Society of Medical Imaging Technology, Nagoya, Japan, August 2009 (bib)
T. Kugo, M. Feuerstein, K. Mori, T. Kitasaka, Y. Suenaga, Y. Hasegawa, K. Imaizumi, S. Iwano
A preliminary study on making respiratory motion model for bronchoscope guidance system
28th Meeting of the Japanese Society of Medical Imaging Technology, Nagoya, Japan, August 2009 (bib)
B. Glocker, D. Zikic, N. Komodakis, N. Paragios, N. Navab
Linear Image Registration through MRF Optimization
IEEE International Symposium on Biomedical Imaging (ISBI), Boston, MA, USA, June 28-July 1 2009. (bib)
C. Wachinger, N. Navab
Similarity Metrics and Efficient Optimization for Simultaneous Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida (USA), June 2009. (bib)
O. Pauly, N. Padoy, H. Poppert, L. Esposito, N. Navab
Wavelet Energy Map: A Robust Support for Multi-modal Registration of Medical Images
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida (USA), June 2009. (bib)
T. Reichl, J. Passenger, O. Acosta, O. Salvado
Echtzeit-Ultraschallsimulation auf Grafik-Prozessoren mit CUDA
Proceedings of Bildverarbeitung fuer die Medizin (BVM 2009), Heidelberg, Germany, March 2009 (bib)
S. Demirci, F. Manstad-Hulaas, N. Navab
Extracting a Purely Non-Rigid Deformation Field of a Single Structure
Proceedings of Bildverarbeitung fuer die Medizin (BVM 2009), Heidelberg, Germany, March 2009 (bib)
T. Reichl, J. Passenger, O. Acosta, O. Salvado
Ultrasound goes GPU: real-time simulation using CUDA
SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
O. Kutter, A. Karamalis, W. Wein, N. Navab
A GPU-Based Framework for Simulation of Medical Ultrasound
SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
C. Wachinger, S. Baumann, J. Zeltner, B. Glocker, N. Navab
Sphere Extraction in MR Images with Application to Whole-Body MRI.
SPIE Medical Imaging, Orlando, Florida, USA, 7-12 February 2009 (bib)
S. Demirci, F. Manstad-Hulaas, N. Navab
Quantification of Abdominal Aortic Deformation after EVAR
SPIE Medical Imaging, Orlando, Florida, USA, 7-12 February 2009 (bib)
T. Sugiura, D. Deguchi, M. Feuerstein, T. Kitasaka, Y. Suenaga, K. Mori
A method for accelerating bronchoscope tracking based on image registration by using GPU
SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
A. Karamalis, W. Wein, O. Kutter, N. Navab
Fast Hybrid Freehand Ultrasound Volume Reconstruction
In Proc. SPIE Medical Imaging, Orlando, Florida, USA, February 2009 (bib)
O. Kutter, R. Shams, N. Navab
Visualization and GPU-accelerated simulation of medical ultrasound from CT images
Computer Methods and Programs in Biomedicine, Volume 94, Issue 3, June, 2009 (bib)
M. Groher, D. Zikic, N. Navab
Deformable 2D-3D Registration of Vascular Structures in a One View Scenario
IEEE Trans. Med. Imag., 28 (6), pp. 847-860 (bib)
2008
C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M. S. Hansen, N. Navab
Deformable Mosaicing for Whole-body MRI
Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York, USA, September 6-10 2008 (bib)
M. S. Hansen, B. Glocker, N. Navab, R. Larsen
Adaptive Parametrization of Multivariate B-splines for Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008 (bib)
B. Glocker, N. Paragios, N. Komodakis, G. Tziritas, N. Navab
Optical Flow Estimation with Uncertainties through Dynamic MRFs
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska (USA), June 24-26, 2008 (bib)
C. Wachinger
Insights Into Three-Dimensional Ultrasound Mosaicing: Strategies for the alignment of multiple ultrasound volumes
VDM Verlag Dr. Müller, Stuttgart, ISBN: 3836488264, December 23 2008, Amazon (bib)
B. Glocker, N. Komodakis, G. Tziritas, N. Navab, N. Paragios
Dense Image Registration through MRFs and Efficient Linear Programming
Medical Image Analysis, Volume 12, Issue 6, December 2008, pp. 731-741 (bib)
C. Wachinger, W. Wein, N. Navab
Registration Strategies and Similarity Measures for Three-dimensional Ultrasound Mosaicing
Journal of the University Radiologists, Academic Radiology 15 (11), pp.1404-1415. Special issue of MICCAI 2007 (bib)
T. Reichl, J. Passenger, O. Acosta, O. Salvado
Real-time ultrasound simulation on GPU
CSIRO, Proceedings of CSIRO ICT Centre Conference 2008 (bib)
T. Sugiura, D. Deguchi, M. Feuerstein, T. Kitasaka, K. Mori, Y. Suenaga, K. Imaizumi, Y. Hasegawa
A study on a method for accelerating bronchoscope tracking based on image registration on GPU
17th Meeting of the Japan Society of Computer Assisted Surgery, Tokyo, Japan, October/November 2008 (bib)
X. Luo, M. Feuerstein, D. Deguchi, T. Kitasaka, Y. Suenaga, K. Imaizumi, Y. Hasegawa, K. Mori
A Study on Feature Point Extraction from Bronchoscopic Images for Bronchoscope Tracking
17th Meeting of the Japan Society of Computer Assisted Surgery, Tokyo, Japan, October/November 2008 (bib)
W. Wein, S. Brunke, A. Khamene, M.R. Callstrom, N. Navab
Automatic CT-Ultrasound Registration for Diagnostic Imaging and Image-guided Intervention
Medical Image Analysis 12(5), pp 577-585, October 2008 (bib)
W. Wein, J.-Z. Cheng, A. Khamene
Ultrasound based Respiratory Motion Compensation in the Abdomen
MICCAI 2008 Workshop on Image Guidance and Computer Assistance for Soft-Tissue Interventions, September 10 2008, New York City, USA. (bib)
E. Gassner, Razvan Ioan Ionasec, B. Georgescu, S. Vogt, U. J. Schoepf, D. Comaniciu
Performance of a Dynamic Aortic Valve Model for Quantification of the Opening Area at Cardiac MDCT . Comparison to Manual Planimetry
Radiological Society of North America, RSNA, 2008, Chicago, USA, November 2008 (bib)
Razvan Ioan Ionasec, B. Georgescu, D. Comaniciu, S. Vogt, U. J. Schoepf, E. Gassner
Patient Specific 4D Aortic Root Models Derived from Volumetric Image Data Sets
Radiological Society of North America, RSNA, 2008, Chicago, USA, November 2008 (bib)
Razvan Ioan Ionasec, B. Georgescu, E. Gassner, S. Vogt, O. Kutter, M. Scheuering, N. Navab, D. Comaniciu
Dynamic model-driven quantification and visual evaluation of the aortic valve from 4D CT
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
J. Choi, B. Georgescu, Razvan Ioan Ionasec, S. Raman, G. Hong, S. Liu, Helene Houle, M. A. Vannan
Novel Semi-Automatic Quantitative Assessment of The Aortic Valve and Aortic Root from Volumetric 3D Echocardiography: Comparison to Volumetric Cardiac Computed Tomography (CT)
AHA, New Orleans, USA, November 2008 (bib)
F. Bender, M. Groher, A. Khamene, W. Wein, H. Heibel, N. Navab
3D Dynamic Roadmapping for Abdominal Catheterizations
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
S. Atasoy, D. Noonan, S. Benhimane, N. Navab, G. Z. Yang
A Global Approach for Automatic Fibroscopic Video Mosaicing in Minimally Invasive Diagnosis
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
T. Reichl
Ultrasound Simulation Project Patent Landscape Search August 2008
CSIRO, The Australian e-Health Research Centre, Internal Report 2008/289 (bib)
C. Wachinger, R. Shams, N. Navab
Estimation of Acoustic Impedance from Multiple Ultrasound Images with Application to Spatial Compounding
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska (USA), June 2008. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)
R. Lasowski, S. Benhimane, J. Vogel, T. F. Jakobs, C. J. Zech, C. Trumm, M. Brokate, N. Navab
Adaptive visualization using the annealing M-estimator
Workshop Bildverarbeitung für die Medizin, Berlin, Germany, April 6-8, 2008 (bib)
T. Reichl, J. Passenger, O. Acosta, O. Salvado
Transrectal Ultrasound and Biopsy Simulation Literature Review
CSIRO, The Australian e-Health Research Centre, Internal Report 2008/108 (bib)
O. Pauly, G. Unal, G. Slabaugh, S. Carlier, T. Fang
Semi-Automatic Matching of OCT and IVUS Images For Image Fusion
SPIE Medical Imaging, San Diego, California (USA), February 2008. (bib)
R. Lasowski, S. Benhimane, J. Vogel, T. F. Jakobs, C. J. Zech, C. Trumm, Ch. Clason, N. Navab
Adaptive visualization for needle guidance in RF Liver Ablation: taking organ deformation into account
SPIE Medical Imaging, San Diego, California, USA, February 16-21, 2008 (bib)
W. Wein, A. Khamene
Image-Based Method for In-Vivo Freehand Ultrasound Calibration
SPIE Medical Imaging, 16-21 February 2008, San Diego, California USA (bib)
S. Demirci, O. Kutter, F. Manstad-Hulaas, R. Bauernschmitt, N. Navab
Advanced 2D-3D Registration for Endovascular Aortic Interventions: Addressing Dissimilarity in Images
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
D. Zikic, M. Groher, A. Khamene, N. Navab
Deformable Registration of 3D Vessel Structures to a Single Projection Image.
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
D. Zikic, S. Sourbron, X. Feng, H. J. Michaely, A. Khamene, N. Navab
Automatic Alignment of Renal DCE-MRI Image Series for Improvement of Quantitative Tracer Kinetic Studies.
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
C. Wachinger, N. Navab
Ultrasound Specific Similarity Measures for Three-Dimensional Mosaicing.
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
S. Atasoy, M. Groher, D. Zikic, B. Glocker, T. Waggershauser, M. Pfister, N. Navab
Real-Time Respiratory Motion Tracking: Roadmap Correction for Hepatic Artery Catheterizations
SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)
N. Navab, M. Groher
Novel Navigation and Advanced Visualization Techniques for Abdominal Catheterization
Hospital Imaging and Radiology Europe, 2 (4), pp. 29-30, Feb. 2008 (bib)
2007
B. Glocker, N. Komodakis, N. Paragios, G. Tziritas, N. Navab
Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
Information Processing in Medical Imaging (IPMI), Kerkrade, Netherlands, July 2-6 2007. This work won the Erbsmann prize for the best oral presentation among all first-time presenters at IPMI 2007. (bib)
A. Khamene, L. Schwarz, D. Zikic, F. Azar, E. Rietzel, N. Navab
A Unified and Efficient Approach for Free-form Deformable Registration
IEEE 11th International Conference on Computer Vision (ICCV), Rio de Janeiro, Brasil, November 2007 (bib)
W. Wein, A. Khamene, D.-A. Clevert, O. Kutter, N. Navab
Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October 2007. Received the MICCAI 2007 Young Scientist Award. (bib)
W. Wein, M. Blume, U. Leischner, H.-U. Dodt, N. Navab
Quality-based Registration and Reconstruction of Optical Tomography Volumes
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October 2007 (bib)
C. Wachinger, W. Wein, N. Navab
Three-Dimensional Ultrasound Mosaicing
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2007, Brisbane, Australia, October 29 - November 2 2007 (bib)
M. Groher, F. Bender, R.T. Hoffmann, N. Navab
Segmentation-driven 2D-3D Registration for Abdominal Catheter Interventions
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2007, Brisbane, Australia, October 29 - November 2 2007, LNCS 4792, pp. 527-535 (bib)
M. Groher, T. F. Jakobs, N. Padoy, N. Navab
Planning and Intraoperative Visualization of Liver Catheterizations: New CTA Protocol and 2D-3D Registration Method
Academic Radiology 14 (11), pp.1324-1339. Special issue of MICCAI 2006 (bib)
B. Glocker, N. Komodakis, N. Paragios, Ch. Glaser, G. Tziritas, N. Navab
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation
Medical Image Computing and Computer-Assisted Intervention (MICCAI), Brisbane, Australia, October 29 - November 2 2007 (bib)
M. Blume, D. Zikic, W. Wein, N. Navab
A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007), Brisbane, Australia, October 2007 (bib)
C. Wachinger, W. Wein, N. Navab
Ultrasound Volume Stitching
6. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2007), Karlsruhe, Germany, October 2007 (bib)
W. Wein, B. Röper, N. Navab
Integrating diagnostic B-mode ultrasonography into CT-based radiation treatment planning
IEEE Transactions on Medical Imaging, 26 (June 2007), pp. 866–879 (bib)
M. Groher, R.T. Hoffmann, C. J. Zech, M. Reiser, N. Navab
An Efficient Registration Algorithm for Advanced Fusion of 2D/3D Angiographic Data
in Proceedings of Bildverarbeitung fuer die Medizin (BVM 2007), Munich, Germany, March 2007 (bib)
R. Micu = (Lasowski), T. F. Jakobs, C. J. Zech, N. Navab
Evaluation of different subvolume visualizations in CT-Fluoroscopy guided RF Liver Ablation
SPIE Medical Imaging, San Diego, California, USA, 17-22 February 2007 (bib)
2006
R. Micu = (Lasowski), T. F. Jakobs, C. J. Zech, M. Reiser, N. Navab
Subvolume visualization based on piecewise 2D CT-Fluoroscopy to 3D CT-Volume registration
5. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2006), Hannover, Germany, Oktober 2006 (bib)
M. Groher, T. F. Jakobs, M. Reiser, N. Navab
Advanced 2D-3D Registration Method for Transarterial Chemoembolizations
5. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2006), Hannover, Germany, September 2006 (bib)
R. Micu = (Lasowski), T. F. Jakobs, M. Urschler, N. Navab
A new registration/visualization paradigm for CT-Fluoroscopy guided RF liver ablation
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
D. Zikic, W. Wein, A. Khamene, D.-A. Clevert, N. Navab
Fast Deformable Registration of 3D-Ultrasound Using a Variational Approach
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
W. Wein, F. Pache, B. Röper, N. Navab
Backward-Warping Ultrasound Reconstruction for Improving Diagnostic Value and Registration
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
M. Groher, N. Padoy, T. F. Jakobs, N. Navab
New CTA Protocol and 2D-3D Registration Method for Liver Catheterization
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006 (bib)
D. Zikic, A. Khamene, N. Navab
Intensity-Unbiased Force Computation for Variational Motion Estimation.
Workshop on Image Registration in Deformable Environments in conjunction with the British Machine Vision Conference (BMVC 2006), Edinburgh, Scotland, September 2006 (bib)
B. Röper, W. Wein, P. Kneschaurek, M. Molls, M. Dobritz, N. Navab
Image-based fusion of diagnostic ultrasound and planning CT for radiotherapy of head and neck cancer – a way towards improvement of regional target volume delineation
12. Jahreskongress der Deutschen Gesellschaft für Radioonkologie (DEGRO), May 2006, Dresden, Germany (bib)
A. Khamene, P. Bloch, W. Wein, M. Svatos, F. Sauer
Automatic Registration of Portal Images and Volumetric CT for Patient Positioning in Radiation Therapy
Medical Image Analysis 10 (2006), pages 96-112 (bib)
A. Khamene, R. Chisu, W. Wein, N. Navab, F. Sauer
A Novel Projection Based Approach for Medical Image Registration
Third International Workshop on Biomedical Image Registration (WBIR), 9-11 July 2006, Utrecht, The Netherlands. (bib)
2005
W. Wein, B. Röper, N. Navab
Automatic Registration and Fusion of Ultrasound with CT for Radiotherapy
8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2005, Palm Springs, California USA. (bib)
M. Groher, T. F. Jakobs, N. Padoy, N. Navab
Towards a Feature-based 2D-3D Registration Method of CTA and 2D Angiograms for Liver Tumor Chemoembolizations
4. Jahrestagung der Deutschen Gesellschaft für Computer-und Roboter-Assistierte Chirurgie (CURAC 2005), Berlin, Germany, September 2005 (bib)
W. Wein, B. Röper, N. Navab
2D/3D Registration Based on Volume Gradients
SPIE Medical Imaging, 12-17 February 2005, San Diego, California USA (bib)
2004
W. Wein, B. Röper, N. Navab
2D/3D Registration Based on Volume Gradients
CURAC, October 2004, Munich (bib)

Working Group

Demirci
Stefanie Demirci
Eslami
Abouzar Eslami
Matthies
Philipp Matthies
Pauly
Olivier Pauly
Peng
Tingying Peng
Shah
Amit Shah
Shakir
Dzhoshkun Ismail Shakir
Wieczorek
Matthias Wieczorek
Yigitsoy
Mehmet Yigitsoy


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