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

Prof. Dr. Nassir Navab

Nassir Navab CAMP - Computer Aided Medical Procedures & Augmented Reality

Research Interests

CAMP Publications

Prof. Gudrun Klinker, Ph.D.

Gudrun Klinker FAR - Fachgebiet Augmented Reality

Research Interests

FAR Publications

Prof. Dr. Bjoern Menze

Bjoern Menze IBBM - Image-Based Biomedical Modelling

Research Interests

  • Computational Physiology
  • Image-based Modeling
  • Medical Computer Vision

Prof. Dr. Peter Struss

Peter Struss MQM - Model-Based Systems & Qualitative Reasoning

Research Interests

  • Qualitative REasoning
  • Model-based Diagnosis
  • Knowledge-based Configuration
  • Model-based Functional Safety
  • Model-based Support Systems

Teaching

Senior Research Scientists

Maximilian Baust

Dr. Maximilian Baust

  • Variational methods
  • Medical image analysis
  • Machine learning

Stefanie Demirci

Dr. Stefanie Demirci

  • Interventional image registration
  • Disocclusion in medical images
  • Medical device detection/navigation
  • Segmentation for medical treatment planning

Ulrich Eck

Dr. Ulrich Eck

  • Medical Augmented Reality for Surgery and Training
  • Intra-operative Navigation and Guidance
  • System Architectures for Realtime Interactive Systems
  • Haptic-Enabled Simulators

Christoph Hennersperger

Dr. Christoph Hennersperger

  • Ultrasound Imaging
  • Computer Assisted Neurosurgery
  • Cardiac Surgery and Imaging
  • Robotic Imaging

Tobias Lasser

PD Dr. Tobias Lasser

  • Mathematical Methods in Medical Imaging
  • Tomographic Reconstruction and Ill-posed Problems
  • Computer Assisted Surgery

Diana Mateus

Dr. Diana Mateus

  • Machine Learning for Medical Applications
  • 3D shape acquisition, modeling and registration
  • Computer Vision

Marie Piraud

Dr. Marie Piraud

  • Medical data analytics and modeling
  • Stochastic modeling and Bayesian inference
  • Machine learning and quantum artificial intelligence

Joint CAMP / Helmholtz Senior Research Group

Tingying Peng

Dr. Tingying Peng

  • Molecular imaging
  • Microscopic image processing
  • Machine learning for medical applications
  • Mathematical modeling for physiological understanding

Senior Affiliate Lecturers / Research Scientists

Ahmad Ahmadi

Dr. Ahmad Ahmadi

  • Neuroimaging
  • Multi-modal Imaging (US,MRI,etc.)
  • Clinical Applications

Benjamin Frisch

Dr. Benjamin Frisch

  • Nuclear Imaging Detectors
  • Interventional Imaging
  • Robotic Imaging

Slobodan Ilic

PD Dr. Slobodan Ilic

  • Deformable surface modeling and tracking
  • 3D reconstruction (multi-camera, stereo)
  • Real-time object detection and tracking
  • Object detection and localization in 3D data

Michael Friebe

Prof. Dr. Michael Friebe

  • Lecturer: "Medical Technology Entrepreneurship" and "Image Guided Surgery: From Bench to Bed and Back (IGSB3)"
  • Research: Translational research in medical imaging & image guided minimal invasive procedures

Federico Tombari

Dr. Federico Tombari

  • Invariant representations for 2D, 3D and RGB-D data
  • 3D object recognition and pose estimation
  • Stereo vision and 3D reconstruction
  • Pattern matching and robust visual correspondence

Markus Kowarschik

PD Dr. Markus Kowarschik

  • Lecturer: Interventional Imaging
  • Research: Interventional Imaging, Tomographic Image Reconstruction

Wolfgang Wein

Dr. Wolfgang Wein

  • Lecturer: conebeam CT and US Imaging
  • Research: Advanced Ultrasound Imaging

Joerg Traub

Dr. Joerg Traub

  • Lecturer: Image Guided Surgery: From Bench to Bed and Back (IGSB3)
  • Invited lecture in CAMP-I: Translation research in medical technology

Peter Noël

Dr. Peter Noël

  • Lecturer: Medical Imaging
  • Research: Tomographic reconstruction

Stephan Nekolla

PD Dr. Stephan Nekolla

  • Quantitative methods in medical imaging
  • Integration of multi modality data: PET, SPECT, CT, MRI
  • Going the full distance: from imaging physics to tracking therapeutical changes

Arash Taki

Dr. Arash Taki

  • Lecturer: Ultrasound Imaging
  • Scientific Advisor: BMC Master of TUM in Singapore

Selected Video

Medical Augmented Reality - An Overview over the Projects at NARVIS
Video Length: 00:05:30
In collaboration with docmed.tv, which is a web based multi-media platform for communicating advances in the field of health care, we created a video showcasing the ongoing research at NARVIS lab, which is located at Klinikum Innenstadt in Munich and run by the department of trauma surgery, LMU, Munich and our chair. For all topics presented in the video, we have student projects available.

fullsize version

Hot Stuff

21 March 2017, 03.13.010
Ultrasound Transit Time Spectroscopy – a novel approach to tissue characterisation
Ultrasound transit time spectroscopy (UTTS) approximates ultrasound propagation through composite media as an array of parallel sonic rays. Via deconvolution of experimentally derived ultrasound input and output signals the resulting impulse response of the test sample, being dependent upon its composition and structure. Applications of UTTS include estimation of bone volume fraction of composites and improving image axial resolution. This talk will provide an overview of the UTTS research within our Quantitative Ultrasound and Image Characterisation (QUIC) research group at QUT.
15 March 2017, MI 03.13.010?
Longitudinal Imaging: Challenges and Oportunities to Study Growth and Disease Trajectories
Clinical assessment routinely uses terms such as development, growth trajectory, aging, degeneration, disease progress, recovery or prediction. This terminology inherently carries the aspect of dynamic processes, suggesting that measurement of dynamic spatiotemporal changes may provide information not available from single snapshots in time. Image processing of temporal series of 3-D data embedding time-varying anatomical objects and functional measures requires a new class of analysis methods and tools that makes use of the inherent correlation and causality of repeated acquisitions. This talk will discuss progress in the development of advanced 4-D image and shape analysis methodologies that carry the notion of linear and nonlinear regression, now applied to complex, high-dimensional data such as images, image-derived shapes and structures, or a combination thereof. Methods include joint segmentation of serial 3D data enforcing temporal consistency, building of 4-D models of tissue diffusivity via longitudinal diffusion imaging, and 4-D shape models. We will demonstrate that statistical concepts of longitudinal data analysis such as linear and nonlinear mixed-effect modeling, commonly applied to univariate or low-dimensional data, can be extended to structures and shapes modeled from longitudinal image data. We will show results from ongoing clinical studies such as analysis of early brain growth in subjects at risk for autism, analysis of neurodegeneration in normal aging and Huntington's disease, and quantitative assessment of recovery in severe TBI.
6 March 2017, CAMP Seminar room, 03.13.010, Boltzmannstr. 3
Invited Talk Upul Senanayake, USWA, Diagnosis of Mild Cognitive Impairment (MCI)
This talk summarises the work carried out by Upul Senanayake during his PhD? candidature at the University of New South Wales Sydney, Australia. Diagnosis of Mild Cognitive Impairment (MCI), which is a prodromal condition to Dementia, is considered to be an active research area as it holds a high prognosticative value in predicting an individual's progression to Dementia. In this talk, multiple modalities of data is explored and leveraged to improve such predictive efforts including patient data, neuropsychological test scores and multiple imaging modalities such as MRI and PET. A range of machine learning and image processing techniques are used for this purpose. Problems of interest include extracting meaningful data from multiple modalities of data, fusion between multiple modalities of data, leveraging the inherent characteristics of data to improve the performance and visualising the predictive efforts in a meaningful manner for the medical professionals.
10 February 2017,
TEDx talk on Medical Augmented Reality
Professor Navab gave a TEDx talk on Medical Augmented Reality.
6 February 2017, Munich, Germany
Paper accepted by Nature Communications
Our paper A Basic Tool for Background and Shading Correction of Optical Microscopy Images has been recently accepted by Nature Communications.

News

21 April 2017, Melbourne, Australia
3rd Best Student Paper Award at ISBI 2017
We are happy to announce that Oliver Zettinig received the 3rd Best Student Paper Award at ISBI 2017 for his work Preconditioned Intensity-Based Prostate Registration using Statistical Deformation Models. Congratulations!

Recent Publications

6 March 2017, Honolulu, USA
3 papers accepted at CVPR 2017
We are happy to announce that three of our submissions to CVPR 2017 have been accepted. Two of our papers received a spotlight slot.
19 January 2017,
New Book on Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting
A new book on Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting has been published by Academic Press.
20 December 2016, Santa Rosa, California, USA
Paper accepted at WACV 2017
We are happy to announce that our paper got accepted at WACV 2017, Santa Rosa, California, USA on March 24 - 31.

25 October 2016,
4 papers accepted at 3DV 2016
We are happy to announce that 4 of our papers were presented at 3DV 2016. The conference took place at Stanford University, California, USA on October 25 - 28.
24 October 2016,
Paper accepted for publication within IEEE Transactions on Medical Imaging (TMI)
Our article on Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study has been accepted by IEEE Transactions on Medical Imaging and is available as open access publication on IEEE Xplore

Alumni News

Address

Location Technische Universität München
Fakultät für Informatik / I16
Boltzmannstraße 3
85748 Garching bei München
Germany

Proud of our Alumni

Dr. Eng. Selim Benhimane
Computer Vision System Architect

Dr. Selen Atasoy
Postdoc at University of New South Wales
Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy
22 June 2012
Alexander Hartl


Dipl.-Inf. Univ. Tayfur Coskun
Trumpf Medical

Dr. Joerg Traub
Managing Director of SurgicEye GmbH
New Concepts for Design and Workflow Driven Evaluation of Computer Assisted Surgery Solutions
12 November 2008



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