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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Medical Image Processing

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Code Completion Credits Range Language
BAM33ZMO Z,ZK 6 2P+2C Czech

During a review of study plans, the course A6M33ZMO can be substituted for the course BAM33ZMO.

It is not possible to register for the course BAM33ZMO if the student is concurrently registered for or has already completed the course A6M33ZMO (mutually exclusive courses).

It is not possible to register for the course BAM33ZMO if the student is concurrently registered for or has already completed the course BEAM33ZMO (mutually exclusive courses).

In order to register for the course BAM33ZMO, the student must have registered for the required number of courses in the group BEZBM no later than in the same semester.

It is not possible to register for the course BAM33ZMO if the student is concurrently registered for or has previously completed the course A6M33ZMO (mutually exclusive courses).

It is not possible to register for the course BAM33ZMO if the student is concurrently registered for or has previously completed the course BEAM33ZMO (mutually exclusive courses).

Garant předmětu:
Jan Kybic
Lecturer:
Jan Kybic
Tutor:
Denis Baručić, Jan Kybic
Supervisor:
Department of Cybernetics
Synopsis:

This course covers the most used advanced image analysis methods, with emphasis on images from medical and biological modalities, from microscopy, to ultrasound, MRI, or CT, including time sequences.

Requirements:

Programming, the knowledge of basic image analysis methods and basic principles of medical imaging devices.

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. Toennies: Guide to Medical Image Analysis, Springer 2012

2. Deserno: Biomedical Image Processing, Springer 2011

3. Yoo: Insight into images. Taylor & Francis, 2004

4. Birkfellner: Applied Medical Image Processing, CRC Press 2011

5. Jan: Medical Image Processing, Reconstruction and Restoration, CRC Press 2006

6. Dhawan: Medical Image Analysis, IEEE Press, 2003

7. Šonka, Fitzpatrick: Handbook of Medical Imaging: Volume 2, Medical Image Processing and Analysis, SPIE Press,

2000

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/zmo
Time-table for winter semester 2023/2024:
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 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-05-18
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet5467606.html