Title
Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular changes in HIV/AIDS
Abstract
We apply multivariate tensor-based morphometry to study lateral ventricular surface abnormalities associated with HIV/AIDS. We use holomorphic one-forms to obtain a conformal parameterization of ventricular geometry, and to register lateral ventricular surfaces across subjects. In a new development, we computed new statistics on the Riemannian surface metric tensors that encode the full information in the deformation tensor fields. We applied this framework to 3D brain MRI data, to map the profile of lateral ventricular surface abnormalities in HIV/AIDS (11 subjects). Experimental results demonstrated that our method powerfully detected brain surface abnormalities. Multivariate Hotelling's T2 statistics on the local Riemannian metric tensors, computed in a log-Euclidean framework, detected group differences with greater power than other surface-based statistics including the Jacobian determinant, largest and least eigenvalue, or the pair of eigenvalues of the Jacobian matrix. Computational anatomy studies may therefore benefit from surface parameterization using differential forms and tensor-based morphometry, in the log-Euclidean domain, on the resulting surface tensors.
Year
DOI
Venue
2009
10.1109/ISBI.2009.5193000
ISBI
Keywords
Field
DocType
conformal parameterization,statistical distributions,hiv,ventricular change mapping,surface parameterization,resulting surface tensors,lateral ventricular surface abnormality,holomorphic one-form,ventricular geometry,microorganisms,eigenvalue,lateral ventricular surface,jacobian determinant,aids,log-euclidean framework,multivariate tensor-based morphometry,multivariate hotelling t2 statistics,local riemannian metric tensors,metric tensors,biomedical mri,riemannian surface metric tensors,brain,brain surface abnormality,3d brain mri data,jacobian matrices,deformation tensor fields,tensors,surface modeling,ventricular change,riemannian surface,computational anatomy,indexing terms,tensile stress,differential forms,face,jacobian matrix,eigenvalues
Computational anatomy,Holomorphic function,Jacobian matrix and determinant,Tensor,Mathematical analysis,Multivariate statistics,Differential form,Tensor field,Eigenvalues and eigenvectors,Mathematics
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-3932-4
978-1-4244-3932-4
2
PageRank 
References 
Authors
0.37
27
5
Name
Order
Citations
PageRank
Yalin Wang1104279.53
Jie Zhang2841185.41
Tony F. Chan38733659.77
Arthur W. Toga43128261.46
Paul Thompson53860321.32