A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique

Abstract. 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 global conformal parametrization of a cortical surface, our method adjusts the landmark curves iteratively on the spherical or rectangular parameter domain of the cortical surface along its principal direction field, using umbilic points of the surface as anchors. The landmark curves can then be mapped back onto the cortical surface. Experimental results show that the landmark curves detected by our algorithm closely resemble these manually labeled curves. Next, we applied these automa...

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