Medical Image Processing

The course cannot be taken simultaneously with:

Medical Imaging Systems 1 (X33ZS1)

The course is a substitute for:

Medical Imaging Systems 1 (X33ZS1)

Lecturer:

Jan Kybic (gar.), Ondřej Chum

Tutor:

Jan Kybic (gar.), Martin Dolejší, David Hurych, Ondřej Chum, Tomáš Sixta

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.

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. Introduction, digitalization and quantization, intensity transformations, histogram.

2. Interpolation, geometric transformation, 2D/3D linear and non-linear filtering.

3. Noise suppression, Wiener filtering, wavelet filtering and de-noising.

4. Mathematical morphology. Texture and its description.

5. Segmentation, low-level methods (thresholding, region growing).

6. Graph-based segmentation methods.

7. Active contours. Principle component analysis and statistical shape and appearance models.

8. Levelset based segmentation.

9. Registration based on landmarks, elastic and rigid, robust methods.

10. Similarity criteria, optimization methods for elastic registration.

11. Discrete registration methods. Diffeomorphic registration methods. Optical flow.

12. The reconstruction problem with applications to CT, regularization, non-linear methods.

13. Detection and classification, applications in mamography, CT, MRI and ultrasound.

14. Reserve.

Syllabus of tutorials:

Individual works will consist of independent practical work involving the use of algorithms covered by the course for analysis of specific medical data.

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:

Time-table for winter semester 2011/2012:

	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	roomKN:E-220 Dolejší M. 16:15–17:45 (lecture parallel1 parallel nr.103) Karlovo nám. Laboratoř BIO
Tue	roomKN:E-301 Kybic J. Chum O. 12:45–14:15 (lecture parallel1) Karlovo nám. Šrámkova posluchárna K9roomKN:G-3 Hurych D. 16:15–17:45 (lecture parallel1 parallel nr.101) Karlovo nám. Labor. PCroomKN:E-132 Sixta T. 18:00–19:30 (lecture parallel1 parallel nr.102) Karlovo nám. Laboratoř PC
Fri
Thu
Fri

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans:

• Biomedicínské inženýrství a informatika - Biomedicínská informatika (compulsory course in the program)
• Biomedicínské inženýrství a informatika - Biomedicínské inženýrství (compulsory course in the program)