Segmentation of supragranular and infragranular layers in ultra-high resolution 7T <i>ex vivo</i> MRI of the human cerebral cortex.

ABSTRACT: Accurate labeling of specific layers in the human cerebral cortex is crucial for advancing our understanding of neurodevelopmental and neurodegenerative disorders. Leveraging recent advancements in ultra-high resolution ex vivo MRI, we present a novel semi-supervised segmentation model capable of identifying supragranular and infragranular layers in ex vivo MRI with unprecedented precision. On a dataset consisting of 17 whole-hemisphere ex vivo scans at 120 μm, we propose a multi-resolution U-Nets framework (MUS) that integrates global and local structural information, achieving reliable segmentation maps of the entire hemisphere, with Dice scores over 0.8 for supra- and infragranular layers. This enables surface modeling, atlas construction, anomaly detection i

SUBMITTER: Zeng X 

PROVIDER: S-EPMC10723438 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature