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Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images

Non-destructive measurement of acceleration-induced displacement fields within a closed object is a fundamental challenge. Inferences of how the brain deforms following skull impact have thus relied largely on indirect estimates and course-resolution cadaver studies. We developed a magnetic resonanc...

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Autores principales: Abney, Teresa M., Feng, Yuan, Pless, Robert, Okamoto, Ruth J., Genin, Guy M., Bayly, Philip V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136495/
https://www.ncbi.nlm.nih.gov/pubmed/21811560
http://dx.doi.org/10.1371/journal.pone.0022063
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author Abney, Teresa M.
Feng, Yuan
Pless, Robert
Okamoto, Ruth J.
Genin, Guy M.
Bayly, Philip V.
author_facet Abney, Teresa M.
Feng, Yuan
Pless, Robert
Okamoto, Ruth J.
Genin, Guy M.
Bayly, Philip V.
author_sort Abney, Teresa M.
collection PubMed
description Non-destructive measurement of acceleration-induced displacement fields within a closed object is a fundamental challenge. Inferences of how the brain deforms following skull impact have thus relied largely on indirect estimates and course-resolution cadaver studies. We developed a magnetic resonance technique to quantitatively identify the modes of displacement of an accelerating soft object relative to an object enclosing it, and applied it to study acceleration-induced brain deformation in human volunteers. We show that, contrary to the prevailing hypotheses of the field, the dominant mode of interaction between the brain and skull in mild head acceleration is one of sliding arrested by meninges.
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spelling pubmed-31364952011-08-02 Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images Abney, Teresa M. Feng, Yuan Pless, Robert Okamoto, Ruth J. Genin, Guy M. Bayly, Philip V. PLoS One Research Article Non-destructive measurement of acceleration-induced displacement fields within a closed object is a fundamental challenge. Inferences of how the brain deforms following skull impact have thus relied largely on indirect estimates and course-resolution cadaver studies. We developed a magnetic resonance technique to quantitatively identify the modes of displacement of an accelerating soft object relative to an object enclosing it, and applied it to study acceleration-induced brain deformation in human volunteers. We show that, contrary to the prevailing hypotheses of the field, the dominant mode of interaction between the brain and skull in mild head acceleration is one of sliding arrested by meninges. Public Library of Science 2011-07-14 /pmc/articles/PMC3136495/ /pubmed/21811560 http://dx.doi.org/10.1371/journal.pone.0022063 Text en Abney 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Abney, Teresa M.
Feng, Yuan
Pless, Robert
Okamoto, Ruth J.
Genin, Guy M.
Bayly, Philip V.
Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title_full Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title_fullStr Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title_full_unstemmed Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title_short Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images
title_sort principal component analysis of dynamic relative displacement fields estimated from mr images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136495/
https://www.ncbi.nlm.nih.gov/pubmed/21811560
http://dx.doi.org/10.1371/journal.pone.0022063
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