DocumentCode
3684564
Title
Atlas to patient registration with brain tumor based on a mesh-free method
Author
Idanis Diaz;Pierre Boulanger
Author_Institution
Department of Computing Science, University of Alberta, Canada
fYear
2015
Firstpage
2924
Lastpage
2927
Abstract
Brain atlas to patient registration in the presence of tumors is a challenging task because its presence cause brain structure deformations and introduce large intensity variation between the affected areas. This large dissimilarity affects the results of traditional registration methods based on intensity or shape similarities. In order to overcome these problems, we propose a novel method that brings closer the atlas and the patient´s image by simulating the mechanical behavior of brain deformation under a tumor pressure. The proposed method use a mesh-free total Lagrangian Explicit Dynamic algorithm for the simulation of atlas deformation and a data driven model of the tumor using multi-modal MRI segmentation. Experimental results look structurally very similar to the patient´s image and outperform two of the top ranking algorithms.
Keywords
"Tumors","Brain modeling","Image segmentation","Deformable models","Shape","Mathematical model"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319004
Filename
7319004
Link To Document