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In brain surface analysis, modeling the development of the cortical surface from gestation to adulthood remains a challenge. Cortical folds, the sulci, have different levels of reproducibility across the population, but even for the most reproducible their shape presents a large variability. The subdivision of these folds in sulcal basins allows to better address this variability to identify homologies between different cortices. To each basin is associated a unique point of maximal depth called sulcal pit. Modeling the basins with oriented varifolds and using the reproducibility of these sulcal pits allow us to propose a new method to automatically identify homologous basins across subjects and to build an atlas map of these basins.
This presentation is part of Minisymposium “MS75 - Geometric methods for shape analysis with applications to biomedical imaging and computational anatomy, Part II (2 parts)”
organized by: Joan Alexis Glaunès (MAP5, Université Paris Descartes) , Sergey Kushnarev (Singapore University of Technology and Design) , Mario Micheli (Harvey Mudd College) .