TeachingSs15MedicalImageAnalysis

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

Medical Image Analysis - IN 3200

Lecture: Prof. Koen Van Leemput (Harvard/DTU; August-Wilhelm Scheer Visiting Professor at TUM), Prof. Bjoern Menze (TUM)

Organization: Cagdas Ulas

Time & Location

  • BLOCK course: week of June 20, week of June 27 (starting Tue July 21)
  • Morning lectures: IMETUM lecture hall and IMETUM seminar room (Check the below course schedule!)
  • Afternoon exercises: IMETUM seminar room and IMETUM lecture hall (Check the below course schedule!)

Overview

This lecture will introduce participants into basic algorithmic concepts for image registration and image segmentation and the underlying theoretical concepts. Emphasis is on the transfer of these concepts into hand on knowledge by implementing algorithms in Matlab and evaluating them to real clinical data sets. The first part will deal with registration, for example, fitting image functions; landmark and intensity based registration; non-linear deformations. The second part will introduce into segmentation methods, with active contour model, voxel-based segmentation (mixture models; expectation maximization, Markov random field priors), and probabilistic population atlases

Prerequisites

  • Basic knowledge in image analysis / computer vision
  • 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.

Regulations

  • Module Spezification: Selected Topics in Computer Graphics and Vision (IN 3200)
  • SWS: 2+2
  • ECTS: 5 Credits
  • Course Language: English
  • Exam: oral

Course Schedule

Date Time Room Type Topic Lecturer Lecture Materials
Tue 21.07.15 10:00-11:30 IMETUM lecture hall L Introduction; fitting of image functions KVL, BM Lecture slides 1
Tue 21.07.15 13:30-15:30 IMETUM seminar room E Fitting of image functions / MR bias field correction KVL  
Wed 22.07.15 10:00-11:30 IMETUM lecture hall L Landmark based registration KVL, BM Lecture slides 2
Wed 22.07.15 13:30-15:30 IMETUM seminar room E Landmark based registration KVL  
Thu 23.07.15 10:00-11:30 IMETUM lecture hall L Intensity based methods for registration KVL, BM Lecture slides 3
Thu 23.07.15 13:30-15:30 IMETUM seminar room E Mutual information based registration KVL  
Fri 24.07.15 10:00-11:30 IMETUM lecture hall L Non-linear registration KVL, BM Lecture slides 4
Fri 24.07.15 13:30-15:30 IMETUM lecture hall E Non-linear registration 1 KVL  
Mon 27.07.15 10:00-11:30 IMETUM seminar room L Dynamic programming KVL, BM Lecture slides 5 - Part1 / Part2
Mon 27.07.15 13:30-15:30 IMETUM seminar room E Non-linear registration 2 KVL  
Tue 28.07.15 10:00-11:30 IMETUM lecture hall L Voxel-based segmentation 1 KVL, BM Lecture slides 6
Tue 28.07.15 13:30-15:30 IMETUM seminar room E Dynamic programming KVL  
Wed 29.07.15 10:00-11:30 IMETUM seminar room L Voxel-based segmentation 2 KVL, BM Lecture slides 7
Wed 29.07.15 13:30-15:30 IMETUM seminar room E Brain tumor segmentation KVL  
Thu 30.07.15 10:00-11:30 IMETUM lecture hall L Atlases KVL, BM Lecture slides 8
Thu 30.07.15 13:30-15:30 IMETUM seminar room E Expectation-Maximization algorithm KVL  
Fri 31.07.15 10:00-11:30 IMETUM lecture hall L Exam KVL, BM  

Lecture Notes

Course note: Medical Image Analysis


TeachingForm
Title: Medical Image Analysis
Professor: Prof. Koen Van Leemput, Prof. Bjoern Menze
Tutors: Cagdas Ulas
Type: Lecture
Information: 2+2 SWS, Module IN 3200, 5 ECTS
Term: 2015SoSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.29 - 26 Aug 2015 - 20:53 - CagdasUlas

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