New course at the TU Berlin
The course "Medical Image Processing" at the TU Berlin by Anja Hennemuth introduces types and formats of medical image data (ultrasound, MRI, CT, histological images,...) with their characteristic properties and pre-processing requirements. Exercises will introduce and explore techniques for extraction and quantification of anatomical structures as well as functional information (motion, blood flow, perfusion). Participants will learn:
- how spatio-temporal information is represented in medical imaging.
- how to segment and model anatomical structures
- how to extract physiological information from 4D image data
- how to implement and integrate these techniques
Segmentation of tubular structures, organs and pathological tissue using tracking, methods, morphological and classification approaches such as Gaussian mixture models and Markov random fields, deformable models; time series analysis including registration, motion tracking, (model-based) change assessment; machine learning in medical imaging.
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