Authors
Moo K Chung, Kim M Dalton, Richard J Davidson
Publication date
2008/2/8
Journal
IEEE transactions on medical imaging
Volume
27
Issue
8
Pages
1143-1151
Publisher
IEEE
Description
We present a new tensor-based morphometric framework that quantifies cortical shape variations using a local area element. The local area element is computed from the Riemannian metric tensors, which are obtained from the smooth functional parametrization of a cortical mesh. For the smooth parametrization, we have developed a novel weighted spherical harmonic (SPHARM) representation, which generalizes the traditional SPHARM as a special case. For a specific choice of weights, the weighted-SPHARM is shown to be the least squares approximation to the solution of an isotropic heat diffusion on a unit sphere. The main aims of this paper are to present the weighted-SPHARM and to show how it can be used in the tensor-based morphometry. As an illustration, the methodology has been applied in the problem of detecting abnormal cortical regions in the group of high functioning autistic subjects.
Total citations
Scholar articles
MK Chung, KM Dalton, RJ Davidson - IEEE transactions on medical imaging, 2008