Title
A New Registration Method Based On Log-Euclidean Tensor Metrics And Its Application To Genetic Studies
Abstract
In structural brain MRI, group differences or changes in brain structures can be detected using Tensor-Based Morphometry (TBM). This method consists of two steps: (1) a non-linear registration step, that aligns all of the images to a common template, and (2) a subsequent statistical analysis. The numerous registration methods that have recently been developed differ in their detection sensitivity when used for TBM, and detection power is paramount in epidemological studies or drug trials. We therefore developed a new fluid registration method that computes the mappings and performs statistics on them in a consistent way, providing a bridge between TBM registration and statistics. We used the Log-Euclidean framework to define a new regularizer that is a fluid extension of the Riemannian elasticity, which assures diffeomorphic transformations. This regularizer constrains the symmetrized Jacobian matrix, also called the deformation tensor. We applied our method to an MRI dataset from 40 fraternal and identical twins, to revealed voxelwise measures of average volumetric differences in brain structure for subjects with different degrees of genetic resemblance.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4541196
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4
Keywords
Field
DocType
registration, brain Imaging, MRI, genetics, statistical analysis
Computer vision,Tensor,Jacobian matrix and determinant,Pattern recognition,Brain mri,Computer science,Artificial intelligence,Euclidean geometry,Deformation (mechanics),Image registration,Diffeomorphism,Statistical analysis
Conference
Volume
ISSN
Citations 
2008
1945-7928
5
PageRank 
References 
Authors
0.50
10
11
Name
Order
Citations
PageRank
caroline brun122223.32
Natasha Lepore213415.80
Xavier Pennec35021357.08
Yi-Yu Chou429022.25
Agatha D Lee529623.02
Greig I. De Zubicaray649143.04
Katie Mcmahon713912.10
Margaret J. Wright843639.31
Marina Barysheva926922.02
Arthur W. Toga103128261.46
Paul Thompson113860321.32