Abstract
Most of the approaches dedicated to automatic morphometry rely on a point-by-point strategy based on warping each brain towards a reference coordinate system. In this paper, we describe an alternative object-based strategy dedicated to the cortex. This strategy relies on an artificial neuroanatomist performing automatic recognition of the main cortical sulci and parcellation of the cortical surface into gyral patches. A set of shape descriptors, which can be compared across subjects, is then attached to the sulcus and gyrus related objects segmented by this process. The framework is used to perform a study of 142 brains of the ICBM database. This study reveals some correlates of handedness on the size of the sulci located in motor areas, which seem to be beyond the scope of the standard voxel based morphometry. © Springer-Verlag Berlin Heidelberg 2003.
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CITATION STYLE
Mangin, J. F., Rivière, D., Cachia, A., Papadopoulos-Orfanos, D., Collins, D. L., Evans, A. C., & Régis, J. (2003). Object-based strategy for morphometry of the cerebral cortex. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2732, 160–171. https://doi.org/10.1007/978-3-540-45087-0_14
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