title: A surface-based approach to quantify local cortical gyrification.
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.
authors.affiliation: Service Médico-Pédagogique, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland. marie.schaer@medecine.unige.ch
authors.forename: Marie
authors.initials: M
authors.lastname: Schaer
authors.forename: Meritxell Bach
authors.initials: MB
authors.lastname: Cuadra
authors.forename: Lucas
authors.initials: L
authors.lastname: Tamarit
authors.forename: François
authors.initials: F
authors.lastname: Lazeyras
authors.forename: Stephan
authors.initials: S
authors.lastname: Eliez
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Thiran
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D002648:Child; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008959:Models, Neurological; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity