TeachingSs10CAMP2Lecture

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

Computer Aided Medical Procedures II (CAMP II) - IN2022

  • To register for this lecture, please fill in this as soon as possible.

Lecture by Prof. Dr. Nassir Navab
Type: Lecture Module IN2022
Programs: Informatics (Bachelor, Master), Informatics (Diploma: Praktische Informatik, Vertiefungsfach), Information Systems (Bachelor), Computational Science and Engineering (Master), TUM-BWL (Technikfach)
SWS: 2+2
ECTS: 5 Credits
Course Language: English

 

Further Information:

Dates

  • Wednesdays 12:30 - 14:00 MI 03.13.010 from 21.04.2010 to 16.07.2010 weekly
  • Thursdays 14:30 - 16:00 MI 03.13.008 from 22.04.2010 to 20.07.2010 weekly Exercise

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

Exam

  • Attestation days: Each student has to present and explain the exercises he has implemented. For each attestation you can earn 20 points. Note that all programs have to work in order to get all points.
  • In the exam itself you can earn up to 80 points.
  • In total you can earn up to 120 points. In order to pass the exam (mask >= 4.0) you will need at least 50 points. For mark 1.0 you need at least 95 points.

Course Schedule

  • The first lecture will be held on Wed, April, 21th
  • For an overview of which subjects will approached in the lecture please refer to last year's lecture?

Course Schedule

Date Type Topic Conducted by Material/Literature Assignment
Wed, Apr 21, 2010 L Introduction and Overview Prof. Nassir Navab  Slides  
Thu, Apr 22, 2010 E Introduction to MATLAB Hauke Heibel, Olivier Pauly, NicolasBrieu  MATLAB Workshop,
 MATLAB Primer
 Exercises
 Solution
Get familiar with the Matlab tutorial
Find a partner for the exercise
Wed, Apr 28, 2010 L Basic and Advanced Filtering Nicolas Brieu  Slides A good reference for the lecture:
R. C. Gonzalez and R.E. Woods: Digital Image Processing
Chapters 3 and 4
Thu, Apr 29, 2010 E Basic and Advanced Filtering Nicolas Brieu  Exercises The last exercise (Frangi filter) is optional
Wed, May 5, 2010 L Basic Segmentation Methods Nicolas Brieu  Slides A good reference for the lecture:
R. C. Gonzalez and R.E. Woods: Digital Image Processing
Chapter 10
Thu, May 6, 2010 E Basic Segmentation Methods Nicolas Brieu  Exercises Only Exercise1 and Exercise2A (Region Growing) will be evaluated at the first attestation.
Exercise2B (Region Splitting) and Exercise3 (Canny) are optional.
Nb: Exercise3 is easier than Exercise2B.
Wed, May 12, 2010 L Transformation and Coordinate System Tassilo Klein, Hauke Heibel  Slides  
Thu, May 13, 2010 - No class due to Ascencion Day      
Wed, May 19, 2010 L Registration I, Point based Martin Groher, Lejing Wang  Slides  
Thu, May 20, 2010 E Registration I, Point based Martin Groher, Lejing Wang  Matlab Exercise Scripts  
Wed, May 26, 2010 L Classification Methods I Diana Mateus,Olivier Pauly  Slides  
Thu, May 27, 2010 E Classification Methods I Diana Mateus,Olivier Pauly  Matlab Exercise Scripts  
Wed, Jun 02, 2010 T Attestation Lejing Wang,Nicolas Brieu, Olivier Pauly, Diana Mateus ALERT! To register to the Attestation, ALERT! please send an e-mail NOW to brieu@in.tum.de with your first name, last name, matricule number, and course of study (BMC, Master, Bachelor, etc...).
Each student will be asked to individually run and explain the Matlab programs he/she has implemented. Short questions may also be asked by the examiners.
The attestation will take place in MI 03.13.008.
ALERT! If this is possible, please come at 12:00 instead of 12:30 ALERT!
 
Thu, Jun 03, 2010 - No class due to Feast of Corpus Christi      
Wed, Jun 09, 2010 L Classification Methods II Olivier Pauly, Diana Mateus  Slides  
Thu, Jun 10, 2010 E Classification Methods II Olivier Pauly, Diana Mateus classification2.zip;  Matlab Exercise Solutions  
Wed, Jun 16, 2010 L Reconstruction Methods Tobias Lasser  Slides  
Thu, Jun 17, 2010 E Reconstruction Methods Tobias Lasser  Exercises  
Wed, Jun 23, 2010 L Principles and Recent Advances in Computed Tomography Peter Noel  Slides  
Thu, Jun 24, 2010 L Variational Methods for Image Processing Maximilian Baust    
Wed, Jun 30, 2010 L Variational methods for Image Segmentation Maximilian Baust  Slides (both lectures) ALERT! Deadline to Register to the final exam via TUM Online ALERT!
Thu, Jul 01, 2010 E Variational methods for Image Segmentation Maximilian Baust  Exercises  
Wed, Jul 07, 2010 L Intensity Based Registration Christian Wachinger  Slides  
Thu, Jul 08, 2010 E Intensity Based Registration Christian Wachinger  Exercises  
Wed, Jul 14, 2010 L Free Form Deformations Loren Schwarz  Slides  
Thu, Jul 15, 2010 E Free Form Deformations Loren Schwarz  Exercises  
Wed, Jul 21, 2010 T Attestation Loren Schwarz, Christian Wachinger, Nicolas Brieu, Maximilian Baust, Tobias Lasser, Olivier Pauly, Diana Mateus   ALERT! The time slots may for the attestation may be found here:
 TimeSlots.
Please send a e-mail to brieu@in.tum.de if any problem.
           
Thu, Jul 29, 2010 T Final Exam Nicolas Brieu Between 9:30 and 11:00 in MW 1450.
This is a CLOSED BOOK exam: no material will be allowed.
An official ID/Passport will be asked for identification.
 

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.
    • Yuri Boykov, Gareth Funka-Lea. Graph Cuts and Efficient N-D Image Segmentation. In International Journal of Computer Vision (IJCV), vol. 70, no. 2, pp. 109-131, 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.
  • Visualization:
    • Christof Rezk-Salama, Klaus Engel, Markus Hadwiger, Joe M. Kniss and Daniel Weiskopf: Real Time Volume Graphics, Transatlantic Publishers, 2006

Secondary Literature


TeachingForm
Title: Computer Aided Medical Procedures II
Professor: Prof. Dr. Nassir Navab
Tutors: Diana Mateus and Nicolas Brieu
Type: Lecture
Information: 2+2 SWS, 5 ECTS, Praktische Informatik, Vertiefungsfach
Term: 2010SoSe
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 r1.58 - 02 Dec 2012 - 15:45 - DianaMateus

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