Simultaneous Geometric - Iconic Registration

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.
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Communication dans un congrès
13th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2010, Sep 2010, Beijing, China. 6362, pp.676-683, 2010, 〈10.1007/978-3-642-15745-5_83〉
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Contributeur : Vivien Fécamp <>
Soumis le : vendredi 30 août 2013 - 13:26:30
Dernière modification le : mardi 5 février 2019 - 13:52:14

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Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios. Simultaneous Geometric - Iconic Registration. 13th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2010, Sep 2010, Beijing, China. 6362, pp.676-683, 2010, 〈10.1007/978-3-642-15745-5_83〉. 〈hal-00856046〉

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