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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

Teaching

Senior Research Scientists

Stefanie Demirci

Dr. Stefanie Demirci

  • Interventional image registration
  • Disocclusion in medical images
  • Shape-based detection in medical images
  • Segmentation in medical treatment planning

Pascal Fallavollita

Dr. Pascal Fallavollita

  • Computer-assisted surgery
  • Medical imaging and segmentation
  • Multimodal image registration
  • 3D reconstruction

Slobodan Ilic

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

Amin Katouzian

Dr. Amin Katouzian

  • Computer Aided Surgery and Diagnosis.
  • Cardiac, Intracardiac, and Intravascular Imaging.
  • Signal Processing for Medical Applications.
  • Medical Image Analysis and Perception.

Joint CAMP / Helmholtz Senior Research Group

Diana Mateus

Dr. Diana Mateus

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

Tobias Lasser

Dr. Tobias Lasser

  • Medical Imaging Modalities
  • Computer-Assisted Interventions
  • Tomographic Reconstruction Methods

Abouzar Eslami

Dr. Abouzar Eslami

  • Cardiac imaging and image analysis
  • Medical image registration and segmentation
  • Computer aided diagnosis
  • Computer assisted cardiac surgery

Olivier Pauly

Dipl.-Ing. Univ. Olivier Pauly

  • Machine Learning for Medical Applications
  • Medical Imaging Modalities
  • Computer aided diagnosis
  • Histology Imaging

Senior Affiliate Lecturers / Research Scientists

Wolfgang Wein

Dr. Wolfgang Wein

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

Michael Friebe

Dr. Michael Friebe

  • Lecturer: Entrepreneurship in Medical Imaging
  • Research: Freehand SPECT in surgery

Peter Noël

Dr. Peter Noël

  • Lecturer: Medical Imaging
  • Research: Tomographic reconstruction

Arash Taki

Dr. Arash Taki

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

Selected Video

PARENT (Video1)
Video Length:
Movie showing registation and interaction with the PARENT system

fullsize version

News

30 January 2012, MI 00.12.019?
QUANTITATIVE EVALUTATION OF 4D MYOCARDIAL STRAIN MEASURES VIA OPTICAL FLOW WITH A FINITE ELEMENT MODEL FITTED TO SONOMICROMETRY
Dynamic cardiac metrics, including strains and displacements, can provide a quantitative approach to evaluate cardiac function. However, in current clinical diagnosis, strain measures in 2D are used despite the fact that cardiac motions are complex changes in 4D. Recent advances in 4D ultrasound enable the capability to capture such complex motion in real time. In our previous work, a 4D optical flow based motion tracking algorithm was developed to extract full 4D dynamic cardiac metrics from such 4D ultrasound data. In order to quantitatively evaluate this method, coronary artery occlusion experiments at various locations were performed on five canine hearts with 4D ultrasound and sonomicrometry data acquired during the occlusion. Optical flow displacement was then mapped onto a finite element field fitted model. Corresponding 4D ultrasound data from these experiments were then analyzed. Estimated principal strains were directly compared to those recorded by sonomicrometry showing strong agreement. This was the first validation study of optical flow based strain estimation for 4D cardiac ultrasound including a direct comparison with sonomicrometry on in vivo data.
27 January 2012, MI 03.13.010
Modeling Brain Circuitry over a Wide Range of Scales
Electron microscopes (EM) can now provide the nanometer resolution that is needed to image synapses, and therefore connections, while Light Microscopes (LM) see at the micrometer resolution required to model the 3D structure of the dendritic network. Since both the arborescence and the connections are integral parts of the brain's wiring diagram, combining these two modalities is critically important. In this talk, I will therefore present our approach to building the dendritic arborescence and to tracking migrating neurons from LM images, as well as to segmenting intra-neuronal structures from EM images. I will also argue that the techniques that are in wide usage in the Computer Vision and Machine Learning community are just as applicable in this context.
26 January 2012, MI 01.13.010
Multi-People Tracking through Global Optimization
Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively detect and track people, even when the only available data comes from the binary output of a simple blob detector and the number of present individuals is a priori unknown. We start from occupancy probability estimates in a top view and rely on a generative model to yield probability images to be compared with the actual input images. We then refine the estimates so that the probability images match the binary input images as well as possible. Finally, having performed this computation independently at each time step, we compute trajectories over tive by solving a convex constrained flow problem, which allows us accurately follow individuals across thousands of frames. Our algorithm yields metrically accurate trajectories for each one of them, in spite of very significant occlusions. In short, we combine a mathematically well-founded generative model that works in each frame individually with a simple approach to global optimization. This yields excellent performance using very simple models that could be further improved.
16 January 2012, MI 02.08.020?
Invited Talk by Bharat Rao, Ph.D., Siemens Healthcare, Inc., Malvern, PA, USA
Dr. Bharat Rao, Senior Director and Head of the Knowledge Solutions (KS) group Health Analytics & Business Intelligence business unit in Siemens Healthcare, will give an invited talk on mining medical images to automatically detect potentially abnormal structures, automated decision-support & inference from EMR’s and personalized medicine for therapy selection.
22 December 2011, MI 03.13.010
Invited Talk by Prof. Franjo Pernuš, PhD, University of Ljubljana
In an invited talk at the CAMP lecture, Prof. Franjo Pernuš, PhD, University of Ljubljana, will present an overview of existing methods, three novel methods for registering 3D CT or MR images to 2D X-ray images, and quantitative registration results.
20 December 2011, MI 02.09.023
Contributions to Medical Image Registration: Theoretical Insights and New Methodologies
As part of his PhD defense, Darko Zikic will give a talk on Tuesday, December 20, 2011 at 17:00, in Room 02.09.023 (FMI-Building, Garching, Boltzmannstr. 3).

Recent Publications

11 January 2012,
2 Papers accepted at ACM Conference on Intelligent User Interfaces (IUI) 2012
ACM Conference on Intelligent User Interfaces is based on full paper submissions and double blind review process in which each paper receives at least 5 peer reviews. This year IUI 2012 received 212 paper submissions. Only 17 long and 17 short papers got accepted (16% acceptance rate). Furthermore, among 146 submissions for demonstration papers, only 8 papers got accepted (18% acceptance rate).
11 January 2012,
One paper accepted at IEEE Symposium on 3D User Interfaces (3DUI) 2012.
IEEE 3DUI Conference is based on full paper submissions and double blind review process in which each paper receives at least 3 peer reviews. We have a long paper accepted at 3DUI 2012!
11 January 2012,
One paper accepted at 21th International Conference of Usability Professionals Association (UPA) 2012.
UPA conference is based on full paper submissions and double blind review process in which each paper receives at least 4 peer reviews. This year UPA 2012 received 346 paper submissions. Only 65 papers got accepted (18% acceptance rate).
22 December 2011,
Paper Accepted at Ultrasonics
Our paper Locally adaptive Nakagami-based ultrasound similarity measures has been accepted and published by Elsevier journal of Ultrasonics.
15 December 2011,
One paper accepted at the Image and Vision Computing Journal
Our paper Human Skeleton Tracking from Depth Data Using Geodesic Distances and Optical Flow has been accepted by the Elsevier Journal Image and Vision Computing, Special Issue on Best of Face and Gesture Recognition 2011. Image and Vision Computing currently has an impact factor of 1.525 (5-year impact factor: 1.840).

Address

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

Proud of our Alumni

Dr. Oliver Kutter
Research Scientist at Siemens Corporate Research Princeton NJ USA
Visual Computing for Computer Assisted Interventions
28 June 2010
Dr. Florent Brunet


Dr. Thomas Wendler
Managing Director of SurgicEye GmbH
3D functional imaging with navigated probes
5 October 2010



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