BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI.

ABSTRACT: Fetal MRI is widely used for quantitative brain volumetry studies. However, currently, there is a lack of universally accepted protocols for fetal brain parcellation and segmentation. Published clinical studies tend to use different segmentation approaches that also reportedly require significant amounts of time-consuming manual refinement. In this work, we propose to address this challenge by developing a new robust deep learning-based fetal brain segmentation pipeline for 3D T2w motion corrected brain images. At first, we defined a new refined brain tissue parcellation protocol with 19 regions-of-interest using the new fetal brain MRI atlas from the Developing Human Connectome Project. This protocol design was based on evidence from histological brain atlases, clear visibility of the str

SUBMITTER: Uus AU 

PROVIDER: S-EPMC10153133 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature