A Surface-Based Approach to Quantify Local Cortical Gyrification

Author

Schaer, Marie ; Cuadra, Meritxell Bach ; Tamarit, Lucas ; Lazeyras, François ; Eliez, Stephan ; Thiran, Jean-Philippe

Author_Institution

Univ. of Geneva, Geneva

Volume

27

Issue

2

fYear

2008

Firstpage

161

Lastpage

170

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

brain; diseases; image reconstruction; medical image processing; neurophysiology; statistical analysis; 22qll Deletion Syndrome; 3-D cortical reconstruction; brain; cortical complexity; cortical convolutions; cortical gyrification quantification; gyral abnormalities; neuroimaging techniques; statistical analysis; surface-based anatomical modeling; Cortical complexity; Gyrification; Neuroimaging; Statistical analysis; Surface-based Anatomical Modeling; gyrification; neuroimaging; statistical analysis; surface-based anatomical modeling; Algorithms; Artificial Intelligence; Cerebral Cortex; Child; Computer Simulation; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Male; Models, Neurological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2007.903576

Filename

4359040