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contributor authorBenjamin S. Elkin
contributor authorAshok Ilankova
contributor authorBarclay Morrison
date accessioned2017-05-09T00:42:26Z
date available2017-05-09T00:42:26Z
date copyrightJuly, 2011
date issued2011
identifier issn0148-0731
identifier otherJBENDY-27212#071009_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145419
description abstractStress relaxation tests using a custom designed microindentation device were performed on ten anatomic regions of fresh porcine brain (postmortem time <3 h). Using linear viscoelastic theory, a Prony series representation was used to describe the shear relaxation modulus for each anatomic region tested. Prony series parameters fit to load data from indentations performed to ∼10% strain differed significantly by anatomic region. The gray and white matter of the cerebellum along with corpus callosum and brainstem were the softest regions measured. The cortex and hippocampal CA1/CA3 were found to be the stiffest. To examine the large strain behavior of the tissue, multistep indentations were performed in the corona radiata to strains of 10%, 20%, and 30%. Reduced relaxation functions were not significantly different for each step, suggesting that quasi-linear viscoelastic theory may be appropriate for representing the nonlinear behavior of this anatomic region of porcine brain tissue. These data, for the first time, describe the dynamic and short time scale behavior of multiple anatomic regions of the porcine brain which will be useful for understanding porcine brain injury biomechanics at a finer spatial resolution than previously possible.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamic, Regional Mechanical Properties of the Porcine Brain: Indentation in the Coronal Plane
typeJournal Paper
journal volume133
journal issue7
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4004494
journal fristpage71009
identifier eissn1528-8951
keywordsMatter
keywordsRelaxation (Physics)
keywordsStress
keywordsMechanical properties
keywordsBiological tissues
keywordsBrain
keywordsResolution (Optics)
keywordsShear (Mechanics) AND Wounds
treeJournal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 007
contenttypeFulltext


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