The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.

ABSTRACT:

Background

Skull-stripping is the procedure of removing non-brain tissue from anatomical MRI data. This procedure can be useful for calculating brain volume and for improving the quality of other image processing steps. Developing new skull-stripping algorithms and evaluating their performance requires gold standard data from a variety of different scanners and acquisition methods. We complement existing repositories with manually corrected brain masks for 125 T1-weighted anatomical scans from the Nathan Kline Institute Enhanced Rockland Sample Neurofeedback Study.

Findings

Skull-stripped images were obtained using a semi-automated procedure that involved skull-stripping the data using the brain extraction based on nonlocal segmentation technique (BEaST) software, and manual

SUBMITTER: Puccio B 

PROVIDER: S-EPMC5080782 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature