Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping

Anatomical features on cortical surfaces are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists to study brain diseases and to match different cortical surfaces. Manual labelling of these landmark curves is time-consuming, especially when there is a large set of data. In this paper, we proposed to trace the landmark curves on cortical surfaces automatically based on the principal directions. Suppose we are given the global conformal parametrization of a cortical surface, By fixing two endpoints, the anchor points, we propose to trace the landmark curves iteratively on the spherical/rectangular parameter domain along the principal direction. Consequently, the landmark curves can be mapped onto the cortical surface. To speed up the iterative scheme, a good initial guess of the landmark curve is necessary. We proposed a method to get a good initialization by extracting the high curvature region on the cor...

• Type: Conference
• Year: 2006
• Where: CVPR
• Authors: Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson
• Keywords: Computer Vision, Cortical Surfaces, CVPR 2006, Global Conformal Parametrization, Landmark Curves