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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Main Authors: Teresa M Abney, Yuan Feng, Robert Pless, Ruth J Okamoto, Guy M Genin, Philip V Bayly
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3136495?pdf=render
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spelling doaj-f52decf58a754fde98a288b02a86746e2020-11-24T21:59:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0167e2206310.1371/journal.pone.0022063Principal component analysis of dynamic relative displacement fields estimated from MR images.Teresa M AbneyYuan FengRobert PlessRuth J OkamotoGuy M GeninPhilip V BaylyNon-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.http://europepmc.org/articles/PMC3136495?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Teresa M Abney
Yuan Feng
Robert Pless
Ruth J Okamoto
Guy M Genin
Philip V Bayly
spellingShingle Teresa M Abney
Yuan Feng
Robert Pless
Ruth J Okamoto
Guy M Genin
Philip V Bayly
Principal component analysis of dynamic relative displacement fields estimated from MR images.
PLoS ONE
author_facet Teresa M Abney
Yuan Feng
Robert Pless
Ruth J Okamoto
Guy M Genin
Philip V Bayly
author_sort Teresa M Abney
title 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_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_sort principal component analysis of dynamic relative displacement fields estimated from mr images.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
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.
url http://europepmc.org/articles/PMC3136495?pdf=render
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AT robertpless principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages
AT ruthjokamoto principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages
AT guymgenin principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages
AT philipvbayly principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages
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