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The graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex

Rabiei, Hamed, Richard, Frederic, Roth, Muriel, Anton, Jean-Luc, Coulon, Olivier, Lefevre, Julien
Aix-Marseille university
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3527
New: Prefer using the following doi: https://doi.org/10.54294/72cwj0
Published in The MIDAS Journal - MICCAI 2015 Workshop: Spectral Analysis in Medical Imaging.
Submitted by Hamed Rabiei on 2015-10-05 17:37:57.

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.