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Explanatory Notes
Instructions
Web page:
https://cw.fel.cvut.cz/wiki/courses/zmo
Anotation:
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.
Study targets:
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.
Course outlines:
| 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 |
Exercises outline:
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.
Literature:
| [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. |
Requirements:
The knowledge of basic signal processing methods including a Fourrier transform, and the knowledge of the basic principles of medical imaging methods.
Keywords:
image processing, medical imaging, registration, segmentation, classification, interpolation, detection, reconstruction, noise suppression, active contours.
Subject is included into these academic programs:
| Page updated 10.12.2024 14:51:41, semester: L/2024-5, Z/2025-6, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |