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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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 |
work_keys_str_mv |
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