A landmark-based primal-dual approach for discontinuity preserving registration

Authors:
Silja Kiriyanthan;Ketut Fundana;Tahir Majeed;Philippe C. Cattin
Affiliations:
Medical Image Analysis Center, University of Basel, Basel, Switzerland;Medical Image Analysis Center, University of Basel, Basel, Switzerland;Medical Image Analysis Center, University of Basel, Basel, Switzerland;Medical Image Analysis Center, University of Basel, Basel, Switzerland
Venue:
MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
Year:
2012

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Abstract

Discontinuous motion is quite common in the medical field as for example in the case of breathing induced organ motion. Registration methods that are able to preserve discontinuities are therefore of special interest. To achieve this goal we developed in our previous work a framework that combines motion segmentation and registration. To avoid unreliable motion fields the incorporation of landmark correspondences can be a remedy. We therefore describe in this paper how we integrate the landmarks in our variational approach and how to solve the minimisation problem with a primal-dual algorithm. Qualitative and quantitative results are shown for real MR images of breathing induced liver motion.