Discontinuity Preserving Image Registration through Motion Segmentation: A Primal-Dual Approach

Kiriyanthan, Silja and Fundana, Ketut and Majeed, Tahir and Cattin, Philippe C.. (2016) Discontinuity Preserving Image Registration through Motion Segmentation: A Primal-Dual Approach. Computational and Mathematical Methods in Medicine, 2016. p. 9504949.

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Official URL: http://edoc.unibas.ch/54579/

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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 organ motion. In this paper, we exploit the fact that motion segmentation could play a guiding role during discontinuity preserving registration. The motion segmentation is embedded in a continuous cut framework guaranteeing convexity for motion segmentation. Furthermore we show that a primal-dual method can be used to estimate a solution to this challenging variational problem. Experimental results are presented for MR images with apparent breathing induced sliding motion of the liver along the abdominal wall.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:04 Oct 2017 07:49
Deposited On:04 Oct 2017 07:49

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