Simultaneous Geometric - Iconic Registration

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Simultaneous Geometric - Iconic Registration
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.
Aristeidis Sotiras, Yangming Ou, Ben Glocker, Chri
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Authors Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios
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