Simultaneous Geometric - Iconic Registration

Aristeidis Sotiras (1, 2) , Yangming Ou (3) , Ben Glocker (2, 4) , Christos Davatzikos (3) , Nikos Paragios (2, 4, 5, 6, 7, 8)

1 MAS - Mathématiques Appliquées aux Systèmes - EA 4037
2 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
3 SBIA - Section for Biomedical Image Analysis
4 CVN - Centre de vision numérique
5 imagine [Marne-la-Vallée]
6 LIGM - Laboratoire d'Informatique Gaspard-Monge
7 UPEM - Université Paris-Est Marne-la-Vallée
8 ENPC - École des Ponts ParisTech

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.

Domaines: Imagerie médicale

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. pp.676-683, ⟨10.1007/978-3-642-15745-5_83⟩. ⟨hal-00856046⟩