TeachingSs18CAMP2Lecture

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. Ulrich Eck and Dr. Guillaume Zahnd
Tutors: Alexander Winkler and Walter Simson

Time & Location

  • Wednesdays: 12:30pm - 2:00pm in room TBA
  • Thursdays: 2:30pm - 4:00pm in room TBA

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 11.04.2018 12:30-14:00 03.13.010 Lecture Introduction and CPU-based Rendering for Medical Volumes Dr. Ulrich Eck  slides
Thu 12.04.2018 14:30-16:00 03.13.010 Exercise Medical Volume Rendering Exercise Alexander Winkler  exercise,  solution,  slides
Wed 18.04.2018 12:30-14:00 03.13.010 Lecture Camera and Tool Calibration Benjamin Busam  slides
Thu 19.04.2018 14:30-16:00 03.13.010 Exercise Hands-On Camera and Tool Calibration Benjamin Busam  exercise,  data,  solution
Wed 25.04.2018 12:30-14:00 03.13.010 Lecture Ultrasound Imaging Walter Simson  slides,  IFL open house invite
Thu 26.04.2018 14:30-16:00 03.13.010 Lab Visit Hands on Ultrasound Imaging at the IFL Lab Walter Simson  
Wed 02.05.2018 12:30-14:00 03.13.010 Lecture Study Design Dr. Guillaume Zahnd  slides
Thu 03.05.2018 14:30-16:00 03.13.010   (no lecture)    
Wed 09.05.2018 12:30-14:00 03.13.010 Lecture Robotics Salvatore Virga  slides
Thu 10.05.2018 14:30-16:00 03.13.010   no lecture (Christi Himmelfahrt)    
Wed 16.05.2018 12:30-14:00 03.13.010 Lecture Introduction to Nuclear Imaging 1 Dr. Thomas Wendler  slides
Thu 17.05.2018 14:30-16:00 03.13.010 Lecture Introduction to Nuclear Imaging 2 Dr. Thomas Wendler please send email to Dr. Ulrich Eck if you need access to the extended reading materials.
Wed 23.05.2018 12:30-14:00 03.13.010 Lecture Autnonomous Robotic Ultrasound Salvatore Virga  slides
Thu 24.05.2018 14:30-16:00 03.13.010 Lecture Autnonomous Robotic Ultrasound Exercise Salvatore Virga  exercise  solution
Wed 30.05.2018 12:30-14:00 03.13.010 Lecture AI in Healthcare Dr. Shadi Albarqouni  slides
Thu 31.05.2018 14:30-16:00 03.13.010   no lecture (Fronleichnam)    
Wed 06.06.2018 12:30-14:00 03.13.010 Lecture Deep Learning: Convolutional Neural Networks Dr. Shadi Albarqouni  slides
Thu 07.06.2018 14:30-16:00 03.13.010 Exercise Deep Learning Exercise Christoph Baur  exercise & solution
Wed 13.06.2018 12:30-14:00 03.13.010 Lecture Camera Augmented C-Arm Prof. Nassir Navab  slides,  paper,  paper,  paper
Thu 14.06.2018 14:30-16:00 03.13.010 Lecture Ophthalmology Dr. Ali Nasseri  slides
Wed 20.06.2018 12:30-14:00 03.13.010 Exercise Ophthalmology Ming Chuan Zhou  exercise
Thu 21.06.2018 14:00-18:00 Brainlab Munich Industry Visit   Arianne Tran  
Wed 27.06.2018 12:30-14:00 03.13.010 Lecture Multimodal Image Processing Fatemeh Nejatbakhsh (F.Nejatbakhsh@campus.lmu.de)  slides
Thu 28.06.2018 14:30-16:00 03.13.010 Lecture Advanced Medical Visualization Dr. Ulrich Eck  slides
Wed 04.07.2018 12:30-14:00 03.13.010 Exercise Advanced Medical Visualization Exercise Alexander Winkler  exercise,  solution
Thu 05.07.2018 14:30-16:00 03.13.010 Lecture Questions Dr. Ulrich Eck, Dr. Guillaume Zahnd  
Tue 10.07.2018 18:00-19:30 00.02.001 (MI HS1) Exam Final Exam Dr. Ulrich Eck, Dr. Guillaume Zahnd  
TBA TBA TBA Exam Exam Inspection Dr. Ulrich Eck, Dr. Guillaume Zahnd  
Mon 08.10.2018 11:00 - 12:30 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
Tutors: Alexander Winkler, Walter Simson
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (IN2022)
Term: 2018SoSe
Abstract:  


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