2019
DOI: 10.48550/arxiv.1911.07999
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Normal and Equivolumetric Coordinate Systems for Cortical Areas

Abstract: We describe coordinate systems adapted for the space between two surfaces, such as those delineating the highly folded cortex in mammalian brains. These systems are estimated in order to satisfy geometric priors, including streamline normality or equivolumetric conditions on layers. We give a precise mathematical formulation of these problems, and present numerical simulations based on diffeomorphic registration methods, comparing them with recent approaches.

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“…The layered structure on the source volume was inferred using the algorithm defined in [26,35], which uses a normal propagation scheme between the lower and upper surfaces delimiting the shapes. The initial potential function estimated in this experiment is a sum of two compactly-supported functions such as defined in equation (12).…”
Section: Parametric Yank Problemmentioning
confidence: 99%
“…The layered structure on the source volume was inferred using the algorithm defined in [26,35], which uses a normal propagation scheme between the lower and upper surfaces delimiting the shapes. The initial potential function estimated in this experiment is a sum of two compactly-supported functions such as defined in equation (12).…”
Section: Parametric Yank Problemmentioning
confidence: 99%