Gauss-Newton Method for Segmentation assisted Deformable Registration

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3492
In this work, we try to develop a fast converging method for
segmentation assisted deformable registration. The segmentation step
consists of a piece-wise constant Mumford-Shah energy model while reg-
istration is driven by the sum of squared distances of both initial images
and segmented mask with a diffusion regularization. In order to solve
this energy minimization problem, a second order Gauss-Newton opti-
mization method is used. For the numerical experiments we used CT
data sets from the EMPIRE10 challenge. In this preliminary study, we
show high accuracy of our algorithm.

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Categories: Deformable registration, Segmentation
Keywords: energy based segmentation, deformable registration
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