After successful completion of the course, students are able to implement specific algorithms discussed in the lecture Medical Image Processing. Furthermore, the students are able to perform data analysis using these algorithms.

Solving medical imaging tasks in MATLAB, e.g.: generation of shape- and appearance models. (Model-based) segmentation of anatomical structures, texture analysis applied to bone structures, vessel detection, localization of anatomical structures

The course includes the implementation of two exercise examples. The students have to implement methods and have to carry out experiments for the data analysis of medical image data with the help of the implemented methods and document both the implementation and the empirical evaluation. During the supervised exercise sessions, the students are supported in the development of the algorithms. 

This semester (SoSe 2020) the exercise will be performed remotely:

• Kick-off: May 5th 6pm via Zoom (please use the TUWEL - Zoom details of the Lecture at that day)
• The two dates for handing in the solved problem sets are May 26th, and June 23rd
• For each of the two problem sets, we will offer tutorium times, during which sstudent groups can reserve time windoes of 20 minutes with the tutors to ask questions, and get help. These time windows will be provided at the following dates: 
• Tutorium for problem set 1: May 12th, 14th, 19th, 25th, 2pm - 4pm
• Tutorium for problem set 2: June 4th, 9th, 16th, 22nd, 2pm-4pm
• The reservation of time slots will be possible via TUWEL
• Test: June 24h (details to be determined)

Submission of 2 successfully implemented and documented practice examples, and a final written exam.