AutoSeg is designed for use with human and non-human primate pediatric, adolescent and adult data.
AutoSeg uses a BatchMake pipeline script that includes the main steps of the framework entailing N4 bias field correction, rigid registration to a common coordinate image, tissue segmentation, skull-stripping, intensity rescaling, atlas-based registration, subcortical segmentation and lobar parcellation, regional cortical thickness and intensity statistics. AutoSeg allows efficient batch processing and grid computing to process large datasets and provides quality control visualizations via Slicer3 MRML scenes.
Recent Activity - Documents
The capsid proteins of a large, icosahedral dsDNA virus. posted by NITRC Moderator on Sep 21, 2019
UNC-Utah NA-MIC framework for DTI fiber tract analysis. posted by NITRC Moderator on Sep 21, 2019
Multimodal MRI evaluation of parkinsonian limbic pathologies. posted by NITRC Moderator on Sep 21, 2019