Advanced Medical Image Processing

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

1) learning the difference between experimental environments
such as Matlab and Python, and industry environments such as C++
2) learning the possibilities of C++ for creating classes and processing
methods
3) applying these techniques in advanced medical imaging analysis using
one or more of the following topics:
data structures, interpolation, connected component algorithms,
geometric modelling, optimized algorithms, noise filtering,
wavelet decomposition, machine learning.
4) developing image analysis software tools from concept to algorithm in
C++ .

Inhoud vak

Software for computationally intensive tasks such as dense signal and
image analysis, deep learning and big data applications is usually
written in C++. Even for specialist data science, mathematical and
statistical software such as Python, Matlab and R, the underlying
libraries that ensure optimal efficiency, the low-level processing is
usually implemented as C++ libraries.

This means that knowledge of C++ is often a requirement for working in
these fields of science. The aim of this course is to learn the
development of medical image processing methods in C++ by using modern
language constructs such as classes, standard libraries and templates.
It demonstrates the importance of program syntax and structure to
achieve optimal speed, efficiency and maintainability.

Onderwijsvorm

lectures, practice sessions, reviews

Toetsvorm

Programming assignment on a specific topic in medical image processing,
including evaluation of the program and reporting on the methods and
results.
Written exam which is accessible after completing the weekly sessions
and the individual assignment.

Doelgroep

MNS-master & Master Physcics of Life & Health

Aanbevolen voorkennis

- Medical Imaging (Bachelor physics and bachelor medical
natural sciences)
- Image processing for MNS (Inleiding medische beeldbewerking).
-Some experience with programming, e.g. MatLab.

Algemene informatie

Vakcode X_422610
Studiepunten 6 EC
Periode P2
Vakniveau 400
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. ir. A.M. Wink
Examinator dr. ir. M.M. Yaqub
Docenten dr. ir. M.M. Yaqub
dr. ir. A.M. Wink

Praktische informatie

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Werkvormen Hoorcollege, Computerpracticum
Doelgroepen

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