Course ObjectiveThe 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 ContentImage 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_432630 (Introductie Medische
Teaching MethodsLectures and practicals
Method of Assessment50% written examination,
50% assignment practical work.
Both should be sufficient to pass the exam.
Entry RequirementsSome Matlab experience is recommended.
LiteratureMcAndrew, 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.
Target AudienceMNS, Physics of Life and Health
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. ir. H. Vrenken|
|Examiner||dr. ir. H. Vrenken|
dr. ir. H. Vrenken
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Lecture, Computer lab, Practical|
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