Image Registration and Motion Modelling
Picturing movement is one of the biggest challenges in medical imaging. This research group picks up this challenge by combining image registration and motion modelling, in order to synchronize e.g. MRI and ultrasound scans or MRI and HIFU treatment. The group consists of an interdisciplinary team of computer scientists, mathematicians and mechanical engineers. We investigate and develope new methods for medical image registration and abdominal motion modelling with particular applications for abdominal noninvasive treatment and diagnostics. Projects range from ultrasound-guided proton therapy of the lung and liver, tumor treatment planning for HIFU treatment for kitney and liver to early detection of chronic lung diseases and growing human choroid and retina.
The challenges which arise in these fields are manifold. Particular foci in this research group lie in
- Medical image registration considering sliding organ boundaries
- Statistical motion modelling for motion prediction based on surrogates
- HIFU treatment planning with consideration of temporal heat diffusion
- For detailed information about the projects and particular group members can be found under the following links.
- Persons: Alina Giger, Christoph Jud, Philippe Cattin
- Tools: Prediction scheme for organ motion for proton therapy
- Persons: Robin Sandkühler, Christoph Jud, Philippe Cattin
- Tools: Ultra-fast steady state free precession tool for early detection of chronic lung diseases
- Persons: Nadia Möri, Christoph Jud, Philippe Cattin
- Tools: Planning tool for HIFU treatment of liver and kidney cancer
- Persons: Tiziano Ronchetti, Christoph Jud, Philippe Cattin
- Tools: Rigid image registration and eye-shape adherent regularization tool