
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 |
Published in The MIDAS Journal - Spectral Analysis in Medical Imaging.
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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