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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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https://hal.inria.fr/hal-01130724
Contributor : Enzo Ferrante <>
Submitted on : Thursday, March 12, 2015 - 11:22:31 AM
Last modification on : Saturday, May 1, 2021 - 3:51:16 AM
Long-term archiving on: : Monday, April 17, 2017 - 9:56:44 AM

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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. ⟨hal-01130724⟩

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