1. Describe spatial, temporal and spatio-temporal video processing methods
2. Describe the modalities of video imaging used in biomedicine and list their advantages and disadvantages
3. Choose an appropriate video recording modality for a specific biomedical problem
4. Choose, implement, and evaluate an appropriate video processing procedure depending on a given biomedical problem
5. Evaluate a specific combination of imaging modality and of video sprocessing method

The lectures present theoretical concepts and algorithms followed by concrete examples.

The seminar includes independent work on a given topic and regular biweekly group discussions.

1. Introduction. About video signals. Overview of video imaging modalities in (bio)medicine.
2. Spatial and temporal component of a video signal. Multichannel video signals. 3D video signals. Dependent variables in video signal.
3. Processing of video signals. Spatial, temporal, and spatio-temporal filtration.
4. Noise and artifacts in video. Noise models. Additive and multiplicative noise. Signal to noise ratio. Noise reduction and removal.
5. Analysis of video signals. Optical flow. Motion. Motion compensation.
6. Video registration. Markers. Rigit and elastic registration.
7. Video coding. Video quality.
8. Midterm
9. Biomedical imaging using light. Motion capture in sport and medicine. Systems with multiple static cameras for 3D reconstruction.
10. Medical imaging using light.
11. Ultrasound imaging in medicine. Ultrasound video.
12. X-ray imaging in medicine. Fluoroscopy. Angiography. CT and 3D video.
13. Magnetic resonance imaging. MRI video.
14. Video guided interventions. Laparoscopy.
15. Final exam