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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2022/2023
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Medical Image Processing

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Code Completion Credits Range Language
BEAM33ZMO Z,ZK 6 2P+2C English
Corequisite:
The course cannot be taken simultaneously with:
Medical Image Processing (A6M33ZMO)
Medical Image Processing (BAM33ZMO)
Garant předmětu:
Jan Kybic
Lecturer:
Jan Kybic
Tutor:
Denis Baručić, Jan Kybic
Supervisor:
Department of Cybernetics
Synopsis:

This subject describes algorithms for digital image processing of 2D and 3D images, with emphasis on biomedical applications. We shall therefore concentrate on the most often used techniques in medical image processing: segmentation, registration, and classification. The methods will be illustrated by a range of examples on medical data. The students will implement some of the algorithms during the practice sessions.

Because of the very large overlap between courses A6M33ZMO and A4M33ZMO, the courses will be taught together this year.

Requirements:

The knowledge of basic signal processing methods including a Fourrier transform, and the knowledge of the basic principles of medical imaging methods.

Syllabus of lectures:

1. Segmentation - active contours, level sets

2. Segmentation - shape models,

3. Segmentation - superpixels, random walker, GraphCuts, graph search, normalized cuts

4. Segmentation - texture, texture descriptors, textons

5. Segmentation - CNN, U-net

6. Detection of cells and nuclei

7. Detection of vessels and fibers

8. Detection of nodules and mammographic lesions

9. Localization of organs and structures

10. Registration - ICP, coherent point drift, B-splines, rigid registration, multiresolution

11. Registration - rigid, elastic, daemons

12. Registration by CNN

Syllabus of tutorials:

Individual works will consist of independent practical work in a computer laboratory involving the use of algorithms covered by the course for analysis of specific medical data. Some algorithms will be implemented from scratch and some using existing freely available libraries and toolkits. Apart from a general overview, the students will gain a deeper understanding of some of the methods and will learn to apply them to practical problems.

Study Objective:

Learn the principles and usage of basic algorithms for medical image processing, such as registration, segmentation and classification. The students will learn to implement some of the algorithms.

Study materials:

[1] Sonka M., Fitzpatrick J. M.: Handbook of Medical Imaging, vol.2. SPIE Press, 2000.

[2] Bankman, I. Handbook of Medical Imaging, Processing and Analysis, vol.1. Academic Press, 2000.

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/zmo
Time-table for winter semester 2022/2023:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
roomKN:E-127
Kybic J.
09:15–10:45
(lecture parallel1)
Karlovo nám.
Kotkova cvičebna K4
roomKN:E-230
Baručić D.
11:00–12:30
(lecture parallel1
parallel nr.101)

Karlovo nám.
Laboratoř PC
Thu
Fri
Time-table for summer semester 2022/2023:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2023-06-10
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet5501506.html