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Mindboggling morphometry of human brains

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 demonstr...

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Autores principales: Klein, Arno, Ghosh, Satrajit S., Bao, Forrest S., Giard, Joachim, Häme, Yrjö, Stavsky, Eliezer, Lee, Noah, Rossa, Brian, Reuter, Martin, Chaibub Neto, Elias, Keshavan, Anisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322885/
https://www.ncbi.nlm.nih.gov/pubmed/28231282
http://dx.doi.org/10.1371/journal.pcbi.1005350
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author Klein, Arno
Ghosh, Satrajit S.
Bao, Forrest S.
Giard, Joachim
Häme, Yrjö
Stavsky, Eliezer
Lee, Noah
Rossa, Brian
Reuter, Martin
Chaibub Neto, Elias
Keshavan, Anisha
author_facet Klein, Arno
Ghosh, Satrajit S.
Bao, Forrest S.
Giard, Joachim
Häme, Yrjö
Stavsky, Eliezer
Lee, Noah
Rossa, Brian
Reuter, Martin
Chaibub Neto, Elias
Keshavan, Anisha
author_sort Klein, Arno
collection PubMed
description 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.
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spelling pubmed-53228852017-03-09 Mindboggling morphometry of human brains Klein, Arno Ghosh, Satrajit S. Bao, Forrest S. Giard, Joachim Häme, Yrjö Stavsky, Eliezer Lee, Noah Rossa, Brian Reuter, Martin Chaibub Neto, Elias Keshavan, Anisha PLoS Comput Biol Research Article 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. Public Library of Science 2017-02-23 /pmc/articles/PMC5322885/ /pubmed/28231282 http://dx.doi.org/10.1371/journal.pcbi.1005350 Text en © 2017 Klein et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Klein, Arno
Ghosh, Satrajit S.
Bao, Forrest S.
Giard, Joachim
Häme, Yrjö
Stavsky, Eliezer
Lee, Noah
Rossa, Brian
Reuter, Martin
Chaibub Neto, Elias
Keshavan, Anisha
Mindboggling morphometry of human brains
title Mindboggling morphometry of human brains
title_full Mindboggling morphometry of human brains
title_fullStr Mindboggling morphometry of human brains
title_full_unstemmed Mindboggling morphometry of human brains
title_short Mindboggling morphometry of human brains
title_sort mindboggling morphometry of human brains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322885/
https://www.ncbi.nlm.nih.gov/pubmed/28231282
http://dx.doi.org/10.1371/journal.pcbi.1005350
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