183.630 Medical Image Processing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, UE, 2.0h, 3.0EC, to be held in blocked form


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • LectureTube course
  • Format: Online

Learning outcomes

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.

Subject of course

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

Teaching methods

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. 

The lab exercise is coordinated in TUWEL.

Mode of examination




Course dates

Fri17:00 - 18:0028.04.2023EI 8 Pötzl HS - QUER UE Kick-Off
Course is held blocked

Examination modalities

Submission of 2 successfully implemented and documented practice examples.

Course registration

Begin End Deregistration end
14.03.2023 09:00 28.04.2023 23:59 28.04.2023 23:59


Study CodeObligationSemesterPrecon.Info
066 453 Biomedical Engineering Not specified
066 453 Biomedical Engineering Not specified
066 645 Data Science Mandatory elective
066 932 Visual Computing Mandatory elective
066 936 Medical Informatics Mandatory1. Semester


No lecture notes are available.

Preceding courses

Accompanying courses