Article: article from journal or magazin.
A surface-based approach to quantify local cortical gyrification.
IEEE Transactions on Medical Imaging
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
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.
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
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