TU Delft
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2013/2014 Electrical Engineering, Mathematics and Computer Science Master Computer Science
Medical Visualization
Responsible Instructor
Name E-mail
Dr. A. Vilanova Bartroli    A.Vilanova@tudelft.nl
Contact Hours / Week x/x/x/x
0/0/4/0 + 1 EC final project 4th quarter
Education Period
Start Education
Exam Period
Different, to be announced
Course Language
Course Contents
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 (IN4307) has been designed to complement the courses Advanced Image Processing (ET4283) and Medical Imaging (AP2231TUD). However, these two courses are NOT pre-requisites.
Study Goals
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.
Education Method
The course will be based on a combination of lectures and practical assignments.
The evaluation will be based on a final project (60%) and an oral exam (40%).
The final project will be done during the 4th quarter.

The deliverables for the final project will be a report (paper), the results (e.g., code) and a presentation.
There will be a day in the forth quarter were all projects will be presented.

The oral exam will be arranged at the end of the third quarter.

Both Assignment (60 %) and oral exam (40%) have to get the mark of pass to successfully pass the course.