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A surface-based approach to quantify local cortical gyrification

Cuadra, Meritxell Bach
Thiran, Jean-Philippe
Published in IEEE Transactions on Medical Imaging. 2008, vol. 27, no. 2, p. 161-70
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 AlgorithmsArtificial IntelligenceCerebral Cortex/anatomy & histologyChildComputer SimulationFemaleHumansImage Enhancement/methodsImage Interpretation, Computer-Assisted/methodsImaging, Three-Dimensional/methodsMagnetic Resonance Imaging/methodsMaleModels, NeurologicalPattern Recognition, Automated/methodsReproducibility of ResultsSensitivity and Specificity
PMID: 18334438
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Research groups Affective sciences
Groupe Lazeyras Francois (IRM fonctionnelle et métabolique) (539)
Laboratoire d'imagerie et de psychopathologie développementale (693)
(ISO format)
SCHAER, Marie et al. A surface-based approach to quantify local cortical gyrification. In: IEEE Transactions on Medical Imaging, 2008, vol. 27, n° 2, p. 161-70. https://archive-ouverte.unige.ch/unige:1919

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Deposited on : 2009-06-09

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