Asymmetric Image-Template Registration

Authors Manuscript received: 2010 May 4. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I

Bibliographic Details
Main Authors: Sabuncu, Mert R. (Contributor), Yeo, B. T. Thomas (Contributor), Van Leemput, Koen (Contributor), Vercauteren, Tom (Author), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer Berlin / Heidelberg, 2012-10-11T18:34:38Z.
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Description
Summary:Authors Manuscript received: 2010 May 4. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I
A natural requirement in pairwise image registration is that the resulting deformation is independent of the order of the images. This constraint is typically achieved via a symmetric cost function and has been shown to reduce the effects of local optima. Consequently, symmetric registration has been successfully applied to pairwise image registration as well as the spatial alignment of individual images with a template. However, recent work has shown that the relationship between an image and a template is fundamentally asymmetric. In this paper, we develop a method that reconciles the practical advantages of symmetric registration with the asymmetric nature of image-template registration by adding a simple correction factor to the symmetric cost function. We instantiate our model within a log-domain diffeomorphic registration framework. Our experiments show exploiting the asymmetry in image-template registration improves alignment in the image coordinates.
NAMIC (NIH NIBIB NAMIC U54-EB005149)
NAC (NIH NCRR NAC P41- RR13218)
mBIRN (NIH NCRR mBIRN U24-RR021382)
NIH NINDS (R01-NS051826 Grant)
National Science Foundation (U.S.) (CAREER Grant 0642971)
NIBIB (R01 EB001550)
NIBIB (R01EB006758)
NCRR (R01 RR16594-01A1)
NCRR (P41-RR14075)
NINDS (R01 NS052585-01)
Singapore. Agency for Science, Technology and Research