Jul 31, 2016

The Preprocessed Connectomes Project Repository of Manually Corrected Skull-stripped T1-weighted Anatomical MRI Data.

BioRxiv : the Preprint Server for Biology
Benjamin PuccioRichard Cameron Craddock

Abstract

Background: Skull-stripping is the procedure of removing non-brain tissue from anatomical MRI data. This procedure is necessary 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 non local segmentation technique (BEaST) software and manually correcting the worst results. Corrected brain masks were added into the BEaST library and the procedure was reiterated until acceptable brain masks were available for all images. In total, 85 of the skull-stripped images were hand-edited and 40 were deemed to not need editing. The results are brain masks for the 125 images along with a BEaST library for automatically skull-stripping other data. Conclusion: Skull-stripped anatomical images from the Neurof...Continue Reading

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Mentioned in this Paper

Computer Software
Study
Biologic Segmentation
Connectome
Magnetic Resonance Imaging
Diffusion Weighted Imaging
Brain
Institution
Research Personnel
Procedure on Brain

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