Implicit Planar and In-Plane Deformable Mapping in Medical Images Through High Order Graphs

Abstract : In this paper we propose a novel method based on discrete optimization of high order graphs, to perform deformable slice-to-volume registration of 2D images and 3D volumes. To this end, a 2D grid superimposed to the image is considered with control points deforming in 3D and their deformations corresponding to the label space. Geometrical consistency (unique plane selection) and deformation smoothness (in-plane deformations) as well as image similarity (visual matching) are encoded in different third order cliques. The proposed formulation is optimized through its mapping to a factor graph using conventional graph optimization methods. A dataset composed of 2D slices and 3D MRI volumes of the heart was used to evaluate its accuracy leading to very promising results.
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Communication dans un congrès
IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI), Apr 2015, Ney York, United States. 2015
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Contributeur : Enzo Ferrante <>
Soumis le : jeudi 12 mars 2015 - 11:22:31
Dernière modification le : vendredi 6 avril 2018 - 13:32:01
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  • HAL Id : hal-01130724, version 1

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Enzo Ferrante, Vivien Fecamp, Nikos Paragios. Implicit Planar and In-Plane Deformable Mapping in Medical Images Through High Order Graphs . IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI), Apr 2015, Ney York, United States. 2015. 〈hal-01130724〉

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