Cortically constrained shape recognition: Automated white matter tract segmentation validated in the pediatric brain.

Kesshi M JordanMichael LauricellaAbigail E LicataSimone SaccoCarlo AsteggianoCheng WangSwati P SudarsanChrista WatsonAaron W SchefflerGiovanni BattistellaZachary A MillerMaria Luisa MandelliEduardo CaverzasiMaria Luisa Mandelli

Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2021)

This novel automated segmentation approach is a promising tool for reproducible large-scale tractography analyses in pediatric populations and particularly for the quantitative assessment of structural connections underlying various clinical presentations in neurodevelopmental disorders.

Keyphrases

white matter
deep learning
convolutional neural network
multiple sclerosis
machine learning
high throughput
congenital heart disease
subarachnoid hemorrhage
blood brain barrier