A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans.

ABSTRACT: Accurate brain tissue extraction on magnetic resonance imaging (MRI) data is crucial for analyzing brain structure and function. While several conventional tools have been optimized to handle human brain data, there have been no generalizable methods to extract brain tissues for multimodal MRI data from rodents, nonhuman primates, and humans. Therefore, developing a flexible and generalizable method for extracting whole brain tissue across species would allow researchers to analyze and compare experiment results more efficiently. Here, we propose a domain-adaptive and semi-supervised deep neural network, named the Brain Extraction Net (BEN), to extract brain tissues across species, MRI modalities, and MR scanners. We have evaluated BEN on 18 independent datasets, including 783 rodent MRI s

SUBMITTER: Yu Z 

PROVIDER: S-EPMC9937657 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature