Detecting mutually-salient landmark pairs with MRF regularization

Abstract : In this paper, we present a framework for extracting mutually-salient landmark pairs for registration. Traditional methods detect landmarks one-by-one and separately in two images. Therefore, the detected landmarks might inherit low dis-criminability and are not necessarily good for matching. In contrast, our method detects landmarks pair-by-pair across images, and those pairs are required to be mutually-salient, i.e., uniquely corresponding to each other. The second merit of our framework is that, instead of finding individually optimal correspondence, which is a local approach and could cause self-intersection of the resultant deformation, our framework adopts a Markov-random-field (MRF)-based spatial arrangement to select the globally optimal landmark pairs. In this way, the geometric consistency of the correspondences is maintained and the resultant deformations are relatively smooth and topology-preserving. Promising experimental validation through a radiologist's evaluation of the established correspondences is presented.
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Submitted on : Friday, August 30, 2013 - 1:51:03 PM
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Yangming Ou, Ahmed Besbes, Michel Billelo, M. Mansour, Christos Davatzikos, et al.. Detecting mutually-salient landmark pairs with MRF regularization. 2010 IEEE 7th International Symposium on Biomedical Imaging - ISBI 2010, Apr 2010, Rotterdam, Netherlands. pp.400-403, ⟨10.1109/ISBI.2010.5490324⟩. ⟨hal-00856059⟩



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