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Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. There are many well established elastic registration methods, but none of them can so far preserve discontinuities in the displacement field. These discontinuities appear in particular at organ boundaries during the breathing induced(More)
In this paper we propose a novel segmentation method that integrates prior shape knowledge obtained from a 3D statistical model into the Markov Random Field (MRF) segmentation framework to deal with severe artifacts, noise and shape deformations. The statistical model is learned using a Probabilistic Principal Component Analysis (PPCA), which allows us to(More)
Preface Medical Image Analysis is an exciting and emerging field of research. The combination of different academic disciplines such as computer science, medicine, mathematics and physics to one interdisciplinary research field involves great challenges and opportunities at the same time. With a background in applied physics and an area of specialisation in(More)
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