Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782208216463048704 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3136495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT abneyteresam principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages AT fengyuan principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages AT plessrobert principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages AT okamotoruthj principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages AT geninguym principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages AT baylyphilipv principalcomponentanalysisofdynamicrelativedisplacementfieldsestimatedfrommrimages |