Robust skull stripping using multiple MR image contrasts insensitive to pathology.
Ontology highlight
ABSTRACT: Automatic skull-stripping or brain extraction of magnetic resonance (MR) images is often a fundamental step in many neuroimage processing pipelines. The accuracy of subsequent image processing relies on the accuracy of the skull-stripping. Although many automated stripping methods have been proposed in the past, it is still an active area of research particularly in the context of brain pathology. Most stripping methods are validated on T1-w MR images of normal brains, especially because high resolution T1-w sequences are widely acquired and ground truth manual brain mask segmentations are publicly available for normal brains. However, different MR acquisition protocols can provide complementary information about the brain tissues, which can be exploited for better di
SUBMITTER: Roy S
PROVIDER: S-EPMC5321800 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
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