Area Preserving Cortex Unfolding

We propose a new method to generate unfolded area preserving representations of the cerebral cortex. The cortical surface is evolved with an application-specific normal motion, and an adequate tangential motion is constructed in order to ensure an exact area preservation throughout the evolution. We describe the continuous formulation of our method as well as its numerical implementation with triangulated surfaces and level sets. We show its applicability by computing inflated representations of the cortex from real brain data.

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