Cortical sulci are convoluted regions between cortical folds deeply embedded in the surface of the brain. Because of their significant characteristics, their functional separation of distinct brain regions, and their natural topological partition of anatomy, sulci serve as a basis for structural analysis of the brain. Current sulcal modeling techniques depend on manual interpretation. We propose a robust voxel-coding method to automatically extract and parameterize the sulcal surfaces from volume data sets.
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