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Computational and Mathematical Methods in Medicine - Volume 2016 2016, Article ID 9504949, 20 pages -

Research ArticleMedical Image Analysis Center, Department of Biomedical Engineering, University of Basel, Basel, Switzerland

Received 19 February 2016; Revised 2 June 2016; Accepted 14 June 2016

Academic Editor: Yuanjie Zheng

Copyright © 2016 Silja Kiriyanthan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.

Autor: Silja Kiriyanthan, Ketut Fundana, Tahir Majeed, and Philippe C. Cattin

Fuente: https://www.hindawi.com/


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