A Genetic Algorithm for the Topology Correction of Cortical Surfaces

We propose a technique to accurately correct the spherical topology of cortical surfaces. We construct a mapping from the original surface onto the sphere to detect topological defects as minimal nonhomeomorphic regions. A genetic algorithm corrects each defect by finding the maximum-a-posteriori retessellation in a Bayesian framework. During the genetic search, incorrect vertices are iteratively identified and eliminated, while the optimal retessellation is constructed. Applied to synthetic and real data, our method generates optimal topological corrections with only a few iterations.

• Type: Conference
• Year: 2005
• Where: IPMI
• Authors: Florent Ségonne, W. Eric L. Grimson, Bruce Fischl
• Keywords: Genetic Algorithm Corrects, IPMI 2005, Medical Imaging, Optimal Topological Corrections, Topological Defects