Introduction to Medical Image Processing

This course is offered in Dutch. Some of the descriptions may therefore only be available in Dutch.

Course Objective

The main goal of the course is to teach students how to apply basic
image processing tools on medical images using MATLAB®. The student
will be able to write efficient MATLAB® applications to addresses and
solve a range of clinical research questions.

Course Content

Image analysis methods play an increasingly important role in medical
science and clinical patient care. This course discusses the most
important image analysis techniques and explains how they can be
applied. These include image histogram analysis, neighbourhood
processing, image fusion, and morphological operations. Rationales for
using these techniques are illustrated with examples from several
imaging modalities and clinical fields. The student then learns how to
apply these techniques practically using MATLAB®. The final mark is the
average of the mark obtained at the written examination and the mark
obtained at the final practical assignment.
Note: This is exactly the same course as X_422612 (Image Processing for

Teaching Methods

lectures and practicals.

Method of Assessment

50% written examination,
50% assignment practical work.
Both should be sufficient to pass the exam.

Entry Requirements

Two years of studies in Medical Natural Sciences, Physics, Mathematics,
or Movement Sciences.


McAndrew, A. Introduction to Digital Image Processing with MATLAB®.
(ISBN 0-534-40011-6). This book will be made available through the
lecturers at a price of around 15 euros.

General Information

Course Code X_432630
Credits 6 EC
Period P2
Course Level 300
Language of Tuition Dutch
Faculty Faculty of Science
Course Coordinator dr. ir. H. Vrenken
Examiner dr. ir. H. Vrenken
Teaching Staff dr. ir. H. Vrenken

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Computer lab, Practical
Target audiences

This course is also available as: