Sulcus Identification and Labeling

The complexity and the variability of the cortical folding pattern are overwhelming for human experts. Computational anatomy helps the field to harness the folding variability considered as a proxy for architectural variability. First, bottom-up processing pipelines convert the implicit encoding of the cortical folding pattern embedded in the geometry of the cortical surface into a synthetic graphic representation. Then, learning-based pattern recognition methods assemble the building blocks of the folding making up this representation in order to reconstruct the sulci of the standard nomenclature. Some attempts at improving current folding models using the same bottom-up strategy could have some impact in the near future.

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