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

Enzo Ferrante (1, 2) , Vivien Fecamp (1, 2) , Nikos Paragios (2, 1)

1 CVN - Centre de vision numérique
2 GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content

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.

Mots clés: Slice-to-Volume Registration; High Order Cliques

Domaines: Imagerie médicale

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⟩