Course detail
Modern approaches of biomedical image analysis
FEKT-DBT4Acad. year: 2018/2019
The course focuses on the issue of registration ( alignment ) image data with examples of applications especially in medicine and related fusion image information. The basic methods and components of mono- and multi - modal registration with a variety of rigid and flexible registration are discussed. Students will deepen their knowledge in the field of texture analysis of image data including the issue of invariance texture features .
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. Fusion of image information.
3. Basic methods and components mono- and multi - modal registration .
4. Geometric transformations.
5. Metrics for registration.
6. Interpolation techniques.
7. Optimization approaches.
8. Overview of methods of texture analysis .
9. Problems of feature invariance.
10. Markov random fields texture models.
11. Methods of local binary patterns.
12. Methods based on higher-order statistics .
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
M. Petrou, Sevilla, P.G. Dealing with Texture, Wiley, 2006
Recommended reading
Classification of course in study plans