Mindboggling morphometry of human brains

View/ Open
Author
Klein, Arno
Bao, Forrest S.
Giard, Joachim
Häme, Yrjö
Stavsky, Eliezer
Lee, Noah
Rossa, Brian
Chaibub Neto, Elias
Keshavan, Anisha
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.1371/journal.pcbi.1005350Metadata
Show full item recordCitation
Klein, A., S. S. Ghosh, F. S. Bao, J. Giard, Y. Häme, E. Stavsky, N. Lee, et al. 2017. “Mindboggling morphometry of human brains.” PLoS Computational Biology 13 (2): e1005350. doi:10.1371/journal.pcbi.1005350. http://dx.doi.org/10.1371/journal.pcbi.1005350.Abstract
Mindboggle (http://mindboggle.info) is an open source brain morphometry platform that takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data containing label, feature, and shape information for further analysis. In this article, we document the software and demonstrate its use in studies of shape variation in healthy and diseased humans. The number of different shape measures and the size of the populations make this the largest and most detailed shape analysis of human brains ever conducted. Brain image morphometry shows great potential for providing much-needed biological markers for diagnosing, tracking, and predicting progression of mental health disorders. Very few software algorithms provide more than measures of volume and cortical thickness, while more subtle shape measures may provide more sensitive and specific biomarkers. Mindboggle computes a variety of (primarily surface-based) shapes: area, volume, thickness, curvature, depth, Laplace-Beltrami spectra, Zernike moments, etc. We evaluate Mindboggle’s algorithms using the largest set of manually labeled, publicly available brain images in the world and compare them against state-of-the-art algorithms where they exist. All data, code, and results of these evaluations are publicly available.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322885/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:32072029
Collections
- HMS Scholarly Articles [17714]
Contact administrator regarding this item (to report mistakes or request changes)