Computer Aided Medical Procedures II (CAMP II) - IN2022
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
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Further Information:
- The first lecture will be held on Wed, April, 17th
- For an overview of which subjects will show up in the lecture please refer to last year's lecture
- Registration for the repeat exam originally scheduled for 02.10.2013 has been suspended, as the exam will be rescheduled due to popular demand
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Attestation + Video Final Grades worth 40 points
Final Exam worth 60 points
- Date: July 31; Time: 8:30am-10:00am; Location: 5101.EG.501 (2501, Rudolf-Mößbauer-Hörsaal)
- 11 questions, one for each lecture
Dates
- Lectures: Wednesdays 12:30 - 14:00 MI 00.08.038 from 17.04.2013 to 17.07.2013 weekly
- Excercises: Thursdays 14:30 - 16:00 MI 03.13.008 from 18.04.2013 to 18.07.2013 weekly
- Note that on 3 Thursday's a lecture is offered instead of an exercise. The location will change to MI 03.13.010
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 exercises.
The exercises 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
Video Presentation Topics
Supervisor | Video Topic | Students |
Diana Mateus | PCA (Taken) | Ralf Gutjahr Nikoleta Mouriki Siri Vea Gabriel Castrillon Juan Osorio |
ICP (Taken) | Sabahattin Giritli Kevin Merckx Ole Tommy Vorren Marat Faizov Roberto Camacho Barranco |
Mehmet Yigitsoy | Mutual Information (Taken) | Jun Shen Yixiang Gong Zhengyu Shan Burcu Altinkaya Andrew Kravtsiv |
Similarity Metrics in Registration (Taken) | Olga Khrutska Lisa Bast Patrick Follmann |
Maximilian Baust | Basic Level Sets | |
Pascal Fallavollita | Tracking Solutions in Medicine (Taken) | Stavroula Timioteraki Cemre Senesen Stefan Winzeck Eduardo Coello Faisal Ibne Mozher |
Optical vs. Video See Through HMD (Taken) | Priya Sarvachakan Sai Gokul Hariharan Nitin Deshpande |
Patrick Wucherer & Philipp Stefan | Ray Casting (Taken) | Jihye Jang Laura Flores Tushar Upadhyay Tao Ye Nicola Leucht |
Abouzar Eslami | TRE/FRE Error Evaluations (Taken) | Markus Muller Yunchang Liang Liubov Merina |
False Positive/False Negative/ROC | |
Amin Katouzian | Gausssian Filtering (Taken) | Mark Muth Volodymyr Chernii Katerina Mikaeva Alex Derntl Ivan Olefir |
Loic Peter | Random Forests (Taken) | Amandeep Kaur Stephanie Wartenburg Julian Völkel Maike Forberg |
Tobias Lasser | SVD and Applications (Taken) | Xiao Huang Xiao Xue Piotr Wojewnik Judith Zimmermann |
Rotations in Medical Imaging | |
Christoph Hennersperger | Basic US Imaging (Taken) | Melanie Bernhardt Dominik Hagl Christian Buchmayr Franziskus Neuhoff Alexander Barthel |
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
- Overview:
- Modalities:
- Computer Aided Surgery:
- [CAS] Various Volumes of Computer Aided Surgery
- [CARS] Various Proceedings of CARS (Computer Assisted Radiology and Surgery - International Congress and Exhibition)
- [Grimson1999] W. Eric L. Grimson, Ron Kikinis, Ferenc A. Jolesz, and Peter McL. Black: Image-Guided Surgery. Scientific American, 280(6) pp. 62-69, 1999
- Computer Vision: