Simultaneous geometric - iconic registration

Authors:
Aristeidis Sotiras;Yangming Ou;Ben Glocker;Christos Davatzikos;Nikos Paragios
Affiliations:
Laboratoire MAS, Ecole Centrale de Paris, France and Equipe GALEN, INRIA Saclay - Île de France, France;University of Pennsylvania;Technische Universität München, Germany;University of Pennsylvania;Laboratoire MAS, Ecole Centrale de Paris, France and Equipe GALEN, INRIA Saclay - Île de France, France
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Year:
2010

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Abstract

In this paper, we introduce a novel approach to bridge the gap between the landmark-based and the iconic-based voxel-wise registration methods. The registration problem is formulated with the use of Markov Random Field theory resulting in a discrete objective function consisting of thee parts. The first part of the energy accounts for the iconic-based volumetric registration problem while the second one for establishing geometrically meaningful correspondences by optimizing over a set of automatically generated mutually salient candidate pairs of points. The last part of the energy penalizes locally the difference between the dense deformation field due to the iconic-based registration and the implied displacements due to the obtained correspondences. Promising results in real MR brain data demonstrate the potentials of our approach.