TeachingSs19CAMP2Lecture

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

Computer Aided Medical Procedures II - IN2022

Organization

Lecture: Prof. Nassir Navab

Organization: Dr. Guillaume Zahnd and Dr. Ulrich Eck and Dr. Seong Tae Kim
Tutors:

Time & Location

Overview

Upon successful completion of the module participants are able to understand the fundamentals, differences, and application areas of advanced methods for image processing, image segmentation and image registration as well as are able to implement them in Python. Moreover, participants are able to understand the fundamentals of machine learning and 3D volume visualization. Furthermore, participants are able to understand complex problems in the area of computer aided diagnosis and interventions as well as to develop solution strategies based on the covered algorithms in the aforementioned areas.

Prerequisites

  • Basic knowledge in image computing (not necessarily acquired through the CAMP I lecture)
  • Interest in algorithmic/implementation aspects
  • Specific knowledge in Python is not required but beneficial. However, you should be somehow skilled in programming.

Regulations

  • Module Spezification: IN2022
  • SWS: 2+2
  • ECTS: 5 Credits
  • Course Language: English
  • Exam: 90 minutes, written, closed book

Course Schedule

Date Time Room Type Topic Lecturer Material
Wed 24.04.2019 12:30-14:00 03.13.010 Lecture Introduction and Lecture Dr. Ulrich Eck  slides
Thu 25.04.2019 14:30-16:00 03.13.010 Lecture Camera & Tool Calibration Matthias Grimm  slides
Thu 02.05.2019 14:30-16:00 03.13.010 Exercise Camera & Tool Calibration Matthias Grimm  exercise, solution
Wed 08.05.2019 12:30-14:00 03.13.010 Lecture Ultrasound Imaging Dr. Guillaume Zahnd  slides
Thu 09.05.2019 14:30-16:00 03.13.010 Lecture Computer-aided Diagnosis Dr. Seong Tae Kim  slides
Wed 15.05.2019 12:30-14:00 03.13.010 Lecture Robotics Javier Esteban  slides
Thu 16.05.2019 14:30-16:00 IFL Lab Visit Hands on Ultrasound and Robotics Dr. Guillaume Zahnd  
Wed 22.05.2019 12:30-14:00 03.13.010     No Lecture  
Thu 23.05.2019 14:30-16:00 03.13.010 Exercise Ultrasound Imaging Walter Simson  Exercise
Wed 29.05.2019 12:30-14:00 03.13.010 Lecture Translation of Algorithms into Medical Practice Dr. Stefan Braunewell  slides
Wed 05.06.2019 12:30-14:00 03.13.010 Lecture Advanced Medical Visualization Dr. Ulrich Eck  slides
Thu 06.06.2019 14:30-16:00 03.13.010 Exercise Advanced Medical Visualization Alexander Winkler  Exercise1  Exercise2 HeadVolume tff Solution1  Solution2
Wed 12.06.2019 12:30-14:00 03.13.010 Exercise Robotics Javier Esteban  slides
Thu 13.06.2019 14:30-16:00 03.13.010 Lecture Nuclear Imaging Dr. Thomas Wendler  slides
Wed 19.06.2019 12:30-14:00 03.13.010        
Wed 26.06.2019 12:30-14:00 03.13.010 Lecture Motion Tracking Dr. Guillaume Zahnd  slides
Thu 27.06.2019 14:30-16:00 03.13.010 Exercise Motion Tracking Hendrik Burwinkel  Tracking_Exercise  Tracking_Solution  slides mean shift
Wed 03.07.2019 12:30-14:00 03.13.010 Lecture Nuclear Imaging Dr. Thomas Wendler  slides
Thu 04.07.2019 14:30-16:00 03.13.010 Lecture Recent Advances in Computer Aided Diagnosis Dr. Seong Tae Kim  slides
Wed 10.07.2019 12:30-14:00 03.13.010 Lecture Optoacoustic imaging Dr. Juan Aguirre  
Thu 11.07.2019 14:30-16:00 03.13.010 Lecture OCT Imaging & Eye Surgery Dr. Ali Nasseri  slides
Wed 17.07.2019 12:30-14:00 03.13.010 Exercise OCT Imaging & Eye Surgery Ming Chuan Zhou  
Thu 18.07.2019 14:30-16:00 03.13.010 Lecture Surgical Data Science Dr. Nicola Rieke  
Wed 24.07.2019 12:30-14:00 03.13.010 Lecture Camera Augmented C-Arm Prof. Nassir Navab  
Thu 25.07.2019 14:00-18:00 03.13.010 Industry visit Brainlab Dr. Guillaume Zahnd  Brainlab Program
Fri 26.07.2019 13:30-15:00 CH 21010, Hans-Fischer-Hörsaal (5401.01.101K) Exam Final Exam Dr. Ulrich Eck, Dr. Guillaume Zahnd  
TBA TBA TBA Exam Exam Inspection Dr. Ulrich Eck, Dr. Guillaume Zahnd  
Fri 11.10.2019 17:00 - 18:30 TBA Exam Repeat Exam Dr. Ulrich Eck, Dr. Guillaume Zahnd  



Literature

  • [1] MATLAB-Python conversion
  • [2] Rudin, L. I., Osher, S., Fatemi, E. (1992). Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena, 60(1-4), 259-268.
  • [3] Chan, T. F., Vese, L. A. (2001). Active contours without edges. IEEE Transactions on image processing, 10(2), 266-277.
  • [4] Chan, T. F., Esedoglu, S., Nikolova, M. (2006). Algorithms for finding global minimizers of image segmentation and denoising models. SIAM journal on applied mathematics, 66(5), 1632-1648.
  • [5] Thirion, J. P. (1998). Image matching as a diffusion process: an analogy with Maxwell's demons. Medical image analysis, 2(3), 243-260.
  • [6] Bro-Nielsen, M., & Gramkow, C. (1996). Fast fluid registration of medical images. In Visualization in Biomedical Computing (pp. 265-276). Springer Berlin Heidelberg.
  • [7] Vercauteren, T., Pennec, X., Perchant, A., & Ayache, N. (2009). Diffeomorphic demons: Efficient non-parametric image registration. NeuroImage?, 45(1), S61-S72.
  • [8] Zikic, D., Baust, M., Kamen, A., & Navab, N. (2011, November). A general preconditioning scheme for difference measures in deformable registration. In Computer Vision (ICCV), 2011 IEEE International Conference on (pp. 49-56). IEEE.
  • [9] Myronenko, A., & Song, X. (2010). Point set registration: Coherent point drift. IEEE transactions on pattern analysis and machine intelligence, 32(12), 2262-2275.
  • [10] Bishop, C. M. (1995). Neural networks for pattern recognition. Oxford university press.
  • [11] Machine Learning with MATLAB (2017)
  • [12] A. Vedaldi, Image Representations, from shallow to deep (2014)

TeachingForm
Title: Computer Aided Medical Procedures 2
Professor: Prof. Nassir Navab, Dr. Ulrich Eck, Dr. Guillaume Zahnd, Dr. Seong Tae Kim
Tutors:  
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (IN2022)
Term: 2019SoSe
Abstract:  


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