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A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method (2008)
| Venue: | in "Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI’08 |
| Citations: | 6 - 1 self |
BibTeX
@INPROCEEDINGS{Brun08atensor-based,
author = {Caroline Brun and Natasha Leporé and Xavier Pennec and Yi-yu Chou and Agatha D and Marina Barysheva and Grieg De Zubicaray and Matthew Meredith and Margaret J. Wright and Arthur W. Toga and Paul M. Thompson},
title = {A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method},
booktitle = {in "Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI’08},
year = {2008},
pages = {914--921},
publisher = {Springer-Verlag}
}
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Abstract
Abstract. We incorporated a new Riemannian fluid registration algorithm into a general MRI analysis method called tensor-based morphometry to map the heritability of brain morphology in MR images from 23 monozygotic and 23 dizygotic twin pairs. All 92 3D scans were fluidly registered to a common template. Voxelwise Jacobian determinants were computed from the deformation fields to assess local volumetric differences across subjects. Heritability maps were computed from the intraclass correlations and their significance was assessed using voxelwise permutation tests. Lobar volume heritability was also studied using the ACE genetic model. The performance of this Riemannian algorithm was compared to a more standard fluid registration algorithm: 3D maps from both registration techniques displayed similar heritability patterns throughout the brain. Power improvements were quantified by comparing the cumulative distribution functions of the p-values generated from both competing methods. The Riemannian algorithm outperformed the standard fluid registration. 1
Keyphrases
tensor-based morphometry study brain structure genetic influence new fluid registration method riemannian algorithm general mri analysis method heritability map new riemannian fluid registration algorithm tensor-based morphometry mr image dizygotic twin pair ace genetic model cumulative distribution function common template standard fluid registration algorithm deformation field power improvement standard fluid registration local volumetric difference similar heritability pattern brain morphology registration technique voxelwise permutation test voxelwise jacobian determinant intraclass correlation lobar volume heritability
