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The graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3527|
Submitted by Hamed Rabiei on 10-05-2015.
The Gyrification Index (GI) quantifies the amount of folding of a cortical surface. In this paper, we show the efficiency of spectral analysis to perform such a task, and in particular we explain how the graph windowed Fourier transform can be used as a tool to define new GIs with multiscale properties. We propose two different GIs and study their effect on a set of subjects whose cortical surfaces are modeled with triangular meshes.
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|Categories:||Feature extraction, Images, Mesh|
|Keywords:||gyrifiation index, spectral analysis, windowed Fourier transform, Laplace-Beltrami operator, computational anatomy|
|Tracking Number:||Labex Archimede, ANR MoDeGy, ANR-12-JS03-001-01|
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