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

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3527
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.

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Paper Quality: plus minus

Information more
backyellow
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
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
InsightToolkit Kinetic Analysis (itk::ka) Library InsightToolkit Kinetic Analysis (itk::ka) Library
by Dowson N., Baker C., Raffelt D., Smith J., Thomas P., Salvado O., Rose S.
Automatic Mandible Segmentation on CT Images Using Prior Anatomical Knowledge Automatic Mandible Segmentation on CT Images Using Prior Anatomical Knowledge
by Aghdasi N., Li Y., Berens A., Moe K., Hannaford B.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas