Geometry Driven Volumetric Registration

Gheorghe Postelnicu, Lilla Zöllei, Rahul Desikan, Bruce Fischl

Abstract: In this paper, we propose a novel method for the registration of volumetric images of the brain that attempts to maximize the overlap of cortical folds. In order to achieve this, relevant geometrical information is extracted from a surface-based morph and is diffused throughout the volume using the Navier operator of elasticity. The result is a volumetric warp that aligns the folding patterns.