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A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique
[chapter]
2006
Lecture Notes in Computer Science
In this paper, we present algorithms to automatically detect and match landmark curves on cortical surfaces to get an optimized brain conformal parametrization. First, we propose an automatic landmark curve tracing method based on the principal directions of the local Weingarten matrix. Our algorithm obtains a hypothesized landmark curves using the Chan-Vese segmentation method, which solves a Partial Differential Equation (PDE) on a manifold with global conformal parameterization. Based on the
doi:10.1007/11866763_38
fatcat:ge2nhc6vfbgltooknmuomz33oi