Automatic landmark tracking applied to optimize brain conformal mapping

Important anatomical features on the cortical surface are usually represented by landmark curves, called sulcal/gyral curves. Manual labeling of these landmark curves is time-consuming, especially when a large dataset is analyzed. In this paper, we propose a method to trace the landmark curves on the cortical surfaces automatically based on the principal directions of the local Weingarten matrix. Based on a global conformal parametrization of the cortical surface, our method adjusts the landmark curves iteratively on the spherical or rectangular parameter domain of the cortical surface along the principal direction field, using umbilic points of the surface as anchors. The landmark curves can then be mapped back onto the cortical surface. To speed up the iterative scheme, we obtain a good initialization by extracting the high curvature regions on the cortex using the Chan-Vese segmentation method, which solves a PDE on the manifold using our global conformal parametrization technique....

• Type: Conference
• Year: 2006
• Where: ISBI
• Authors: Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson
• Keywords: Average Cortical Surfaces, Cortical Surface, ISBI 2006, Landmark Curves, Medical Imaging