Silja Kiriyanthan

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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)
Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. It became an indispensable device for many medical applications including image-guided therapy systems. The basic goal of image registration is to spatially align two images that show a similar region of interest. More specifically, a(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)
  • Patrik Arnold, G Umligen, Bern, Philippe C Cattin, Basel Dissertationsbetreuer, Antony Lomax +17 others
  • 2012
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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