IN4307 Medical visualization

Theory and practice of medical visualization. This includes the following aspects: data acquisition basics, clinical practice; image processing: filtering, segmentation and measurement, registration; medical volume visualization; illustrative visualization; advanced modalities; interaction techniques for medical data; advanced applications.

This course complements the courses Advanced Image Processing (ET4283) and Medical Imaging (AP2231TUD).

At the end of the course, the students should be able to understand, and judge the advantages and disadvantages of the medical visualization algorithms, as well as their applicability to a specific medical problem. The students should be able to propose suitable solutions to a problem, backed by sound knowledge of the underlying theory and the practical possibilities. They should be able to design, implement, test and discuss these solutions, consisting of a number of medical visualization algorithms.


A. Vilanova-Bartroli

Last modified: 2016-02-24


Credits: 5 EC
Period: 0/0/4/0