Medical Image Analysis  (710.076)

TUG-Online

The lecture focuses on various medical image analysis techniques and related topics. In particular the following aspects will be addressed:

• Imaging modalities (CT, MR, US, SPECT, and PET) and image reconstruction
• Image quality, acquisition artifacts, and preprocessing techniques
• Segmentation methods (e.g., deformable models, point distribution models, active appearance models, level sets, fuzzy connectedness, graph cuts, ...)
• Registration methods: rigid/non-rigid, inter/intra-modality
• Interactive data visualization and manipulation
• Performance evaluation and simulation
• Computer aided interventions planning and preoperative planning
• Case studies

The goal of this lecture is to teach sate of the art computer vision methods for the analysis of medical image data. In addition, the lecture provides a starting point/framework for doing work/research in the highly interdisciplinary field of medical image analysis.

Lecture notes will be made available during the course.

Credits go to Reinhard Beichel for preparing major parts of these notes in 2006!

Suitable background literature:

• M. Sonka, J.M. Fitzpatrick, Editors; Handbook of Medical Imaging, Vol. 2 - Medical Image Processing and Analysis; ISBN 0819436224; SPIE, Belligham, WA.
• J. V. Hajnal, D. L. G. Hill, D. J. Hawkes; Medical Image Registration; ISBN 0849300649
• J. L. Prince, J. M. Links; Medical Imaging Signals and Systems; ISBN 0130653535
• A. P. Dhawan; Medical Image Analysis; ISBN 0471451310