A surface-based approach to quantify local cortical gyrification.

Details

Serval ID
serval:BIB_898D874535D4
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A surface-based approach to quantify local cortical gyrification.
Journal
IEEE Transactions on Medical Imaging
Author(s)
Schaer M., Cuadra M.B., Tamarit L., Lazeyras F., Eliez S., Thiran J.P.
ISSN
0278-0062 (Print)
ISSN-L
0278-0062
Publication state
Published
Issued date
2008
Volume
27
Number
2
Pages
161-170
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Abstract
The high complexity of cortical convolutions in humans is very challenging both for engineers to measure and compare it, and for biologists and physicians to understand it. In this paper, we propose a surface-based method for the quantification of cortical gyrification. Our method uses accurate 3-D cortical reconstruction and computes local measurements of gyrification at thousands of points over the whole cortical surface. The potential of our method to identify and localize precisely gyral abnormalities is illustrated by a clinical study on a group of children affected by 22q11 Deletion Syndrome, compared to control individuals.
Keywords
Algorithms, Artificial Intelligence, Cerebral Cortex/anatomy & histology, Child, Computer Simulation, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/methods, Male, Models, Neurological, Pattern Recognition, Automated/methods, Reproducibility of Results, Sensitivity and Specificity
Pubmed
Web of science
Create date
02/09/2010 14:19
Last modification date
20/08/2019 14:48
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