Introductie medische beeldbewerking

2019-2020

Doel vak

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.

Inhoud vak

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
MNS)

Onderwijsvorm

lectures and practicals.

Toetsvorm

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

Vereiste voorkennis

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

Literatuur

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.

Algemene informatie

Vakcode X_432630
Studiepunten 6 EC
Periode P2
Vakniveau 300
Onderwijstaal Nederlands
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. ir. H. Vrenken
Examinator dr. ir. H. Vrenken
Docenten dr. ir. H. Vrenken

Praktische informatie

Voor dit vak moet je zelf intekenen.

Voor dit vak kun je last-minute intekenen.

Werkvormen Hoorcollege, Computerpracticum, Practicum
Doelgroepen

Dit vak is ook toegankelijk als: