A new method is presented for fully automated regional f quantification of human neo-cortical thickness from 3-D MR images. The method does not require explicit extraction of the cortical surface, but instead is based on a geodesic distance transform of the binarized 3-D volumetric gray matter map obtained by automated segmentation. Regional cortical thickness distributions are derived by atlas-based partitioning of the brain. Results for 64 normal controls are presented that show very good agreement with published reference values.
CITATION STYLE
Srivastava, S., Maes, F., Vandermeulen, D., Dupont, P., Van Paesschen, W., & Suetens, P. (2003). An automated 3D algorithm for neo-cortical thickness measurement. In Lecture Notes in Computer Science (Vol. 2879, pp. 488–495). Springer Verlag. https://doi.org/10.1007/978-3-540-39903-2_60
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