TeachingSs06CAMP2Lecture

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

Computer Aided Medical Procedures II (CAMP II)

2+1 SWS, 4 ECTS, Praktische Informatik, Vertiefungsfach

Lecture by Prof. Dr. Nassir Navab .

 

Further Information:

Time & Location:

  • Tuesdays, 10:00-10:45 and Fridays, 14:00-15:30
  • Classes (labeled "C" in the schedule below) are held in our seminar room MI 03.13.010, excercises (labeled "X") in the computer lab MI 02.13.008.

Abstract

This lecture teaches students to transfer their knowledge from the field of medical imaging and computer assisted interventions to practical algorithms. During the classes, the students get exposed to particular problems from segmentation, registration, navigation, tracking, and medical augmented reality and are then guided when implementing those algorithms themselves using MATLAB during the excercises.

The excercises take place in a lab room with MATLAB workstations.

Prerequisites

  • Basic knowledge in image computing (not necessarily acquired through the CAMP I lecture)
  • Interest in algorithmic/implementation aspects
  • Ability to work in small teams

  • Specific knowledge in MATLAB is not required but beneficial. However, you should be somehow skilled in programming.

Benefits

  • Deep insight into medical image computing
  • Ability to implement solutions for computer aided medical procedures

Course Schedule

ALERT! Attention: ALERT!
Old slides have been either removed or password protected. Please contact in order to get them.

Date Type Topic Conducted by Material/Literature Assignment/Solution
Tue, Apr 25, 2006 C Introduction and Overview Prof. Dr. N. Navab    
Fri, Apr 28, 2006 X Introduction to MATLAB A. Keil and Prof. Dr. N. Navab  Primary tutorial,
 Another external tutorial
 0Introduction.zip,
 0IntroductionSolution.zip
    Filtering      
Tue, May 2, 2006 C Basic and Advanced Filtering (Linear Filters, Median Filtering, Anisotropic Diffusion, Edge Detection, Frangi Filter) A. Keil and Prof. Dr. N. Navab  Slides, [FrangiVesselFilter]  
Fri, May 5, 2006 X Linear Filters, Anisotropic Diffusion A. Keil and Prof. Dr. N. Navab [PeronaAnisotropicDiffusion]  1Filtering.zip,
 1FilteringSolution.zip
    Segmentation      
Tue, May 9, 2006 C Basic Segmentation Approaches A. Keil, O. Kutter, and Prof. Dr. N. Navab  Slides  
Fri, May 12, 2006 X Thresholding, Region Growing A. Keil and Prof. Dr. N. Navab    2Segmentation.zip,
 2SegmentationSolution.zip
Tue, May 16, 2006 C Advanced Segmentation Techniques: Overview, Graph Cuts D. Zikic, O. Kutter and Prof. Dr. N. Navab  Slides  
Fri, May 19, 2006 C Advanced Segmentation Techniques: Graph Cuts, Random Walker D. Zikic and Prof. Dr. N. Navab  Handout Graph Cuts,
 Handout Random Walker
 
Tue, May 23, 2006   no class due to SVV      
Fri, May 26, 2006   no class      
    Transformations, Calibration and Point-Based Registration      
Tue, May 30, 2006 C Transformations, Tip Calibration, Point-Based Registration J. Traub and Prof. Dr. N. Navab  Slides  
Fri, Jun 2, 2006 X Tip Calibration, Point-Based Registration J. Traub, M. Groher, and Prof. Dr. N. Navab    4TransformationRegistration.zip,
 4TransformationRegistrationSolution.zip
Tue, Jun 6, 2006   no class due to Pentecost      
Fri, Jun 9, 2006 C/X Feature-Based Registration: PCA and ICP M. Groher, M. Feuerstein, and Prof. Dr. N. Navab  Slides  5PCA_and_ICP.zip,
 5PCA_and_ICPSolution.zip,
pointBasedRegistration.m,
skew.m
Tue, Jun 13, 2006 X Feature-Based Registration: PCA and ICP M. Groher, M. Feuerstein, and Prof. Dr. N. Navab    
Fri, Jun 16, 2006 C/X Camera Calibration M. Feuerstein and Prof. Dr. N. Navab  Slides  6CameraCalibration.zip
Tue, Jun 20, 2006 C Hand-Eye Calibration M. Feuerstein and Prof. Dr. N. Navab  Slides  
Fri, Jun 23, 2006 X Hand-Eye Calibration M. Feuerstein, J. Traub, and Prof. Dr. N. Navab    7HandEyeCalibration.zip,
 7HandEyeCalibrationSolution.zip
    Advanced Registration      
Tue, Jun 27, 2006 C Intensity-Based Registration: SSD/SAD, NCC, MI T. Lasser, and Prof. Dr. N. Navab  Slides  
Fri, Jun 30, 2006 X Intensity-Based Registration: SSD/SAD, NCC, MI T. Lasser, Martin Groher, and Prof. Dr. N. Navab    8IntensityBasedRegistration.zip,
 8IntensityBasedRegistrationSolution.zip
Tue, Jul 4, 2006 C Deformable Registration: Problem Definition and Overview D. Zikic and Prof. Dr. N. Navab  Slides  
Fri, Jul 7, 2006 C Deformable Registration: Intensity-based Deformable Registration D. Zikic and Prof. Dr. N. Navab  Slides  
    Visualization and Navigation      
Tue, Jul 11, 2006 C Information Representation T. Sielhorst, J. Traub, and Prof. Dr. N. Navab  Slides
 same Slides - incl. videos - 111MB
 
Fri, Jul 14, 2006 C Psychology of Perception, Visualization Techniques, CAMPAR - Compelling Medical AR T. Sielhorst, J. Traub, and Prof. Dr. N. Navab  Slides,  Slides,
 CAMPAR Tutorial
 
Tue, Jul 18, 2006 C Live Demo of a Medical AR System in MI 03.13.007 T. Sielhorst, J. Traub, and Prof. Dr. N. Navab    
Fri, Jul 21, 2006 C Details of Volume Rendering, Visual Tracking & Data synchronization T. Sielhorst, J. Traub, and Prof. Dr. N. Navab  Slides  assignments.txt
           
Tue, Jul 25, 2006   Conclusion, Questions and Answers, Evaluation A. Keil    
ALERT! Sat, Jul 29, 2006 ALERT!   Exam in room MI 03.13.010      

Literature

Primary Literature

  • Image Processing / (Filtering, Morpholgical Operations, and Basic Segmentation Methods):
  • Segmentation:
  • Advanced Segmentation:
    • Leo Grady, Yiyong Sun, James Williams. Three interactive graph-based segmentation methods applied to cardiovascular imaging. In Nikos Paragios, Yunmei Chen, Olivier Faugeras, editors. Handbook of mathematical models in computer vision. Springer, 2006.
    • Yuri Boykov and Marie-Pierre Jolly. Interactive organ segmentation using graph cuts. In Scott L. Delp, Anthony M. DiGioia, and Branislav Jaramaz, editors, MICCAI, volume 1935 of Lecture Notes in Computer Science, pages 276--286. Springer, 2000.
    • Y. Boykov and O. Veksler. Graph cuts in vision and graphis: theories and applications. In Nikos Paragios, Yunmei Chen, Olivier Faugeras, editors. Handbook of mathematical models in computer vision. Springer, 2006.
    • Leo Grady and Gareth Funka-Lea. Multi-label image segmentation for medical applications based on graph-theoretic electrical potentials. In Milan Sonka, Ioannis A. Kakadiaris, and Jan Kybic, editors, Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, ECCV 2004 Workshops CVAMIA and MMBIA, number LNCS3117 in Lecture Notes in Computer Science, pages 230--245, Prague, Czech Republic, May 2004. Springer.
    • Leo Grady and Eric Schwartz. Anisotropic interpolation on graphs: The combinatorial Dirichlet problem. Technical Report CAS/CNS-TR-03-014, Department of Cognitive and Neural Systems, Boston University, Boston, MA, July 2003.
    • Web Page of Leo Grady a.k.a. everything you gotta know about random walker...
  • Registration:
    • [Hajnal2001] J. V. Hajnal, D. L. G. Hill, and D. J. Hawkes: Medical Image Registration. CRC Press, Biomedical Engineering Series, 2001
  • Deformable Registration:
    • [Modersitzki2004] Jan Modersitzki. Numerical methods for image registration. Oxford University Press, 2004.

Secondary Literature


TeachingForm
Title: Computer Aided Medical Procedures II
Professor: Prof. Dr. Nassir Navab
Tutors: Andreas Keil, Oliver Kutter, Martin Groher, Tobias Lasser, Tobias Sielhorst, Joerg Traub, Marco Feuerstein, Darko Zikic
Type: Lecture
Information: 2+1 SWS, 4 ECTS, Praktische Informatik, Vertiefungsfach
Term: 2006SoSe
Abstract: Computer science is playing an important, increasing role in medical practices. Medical imaging companies are no more asked by physicians to only produce images of anatomy. Instead, they are asked to design software and hardware systems to provide complex computer-aided solutions for diagnosis, intervention and therapy. There are more and more opportunities for computer science graduates to contribute to the development and deployment of medical solutions. Within the operating rooms, there is an increasing need for the integration and visualization of heterogeneous data acquired by numerous sensors. This course on computer aided medical procedures exposes the students to the challenges of building the operating rooms of the future. The main focus of the course is in imaging technologies especially intra-operative imaging as well as the visualization of this data. Techniques like segmentation and registration are explained in various classes.


Edit | Attach | Refresh | Diffs | More | Revision r1.161 - 19 Dec 2006 - 11:11 - AndreasKeil

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif