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    Measurement of the Dynamic Shear Modulus of Mouse Brain Tissue In Vivo by Magnetic Resonance Elastography

    Source: Journal of Biomechanical Engineering:;2008:;volume( 130 ):;issue: 002::page 21013
    Author:
    Stefan M. Atay
    ,
    Christopher D. Kroenke
    ,
    Arash Sabet
    ,
    Philip V. Bayly
    DOI: 10.1115/1.2899575
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, the magnetic resonance (MR) elastography technique was used to estimate the dynamic shear modulus of mouse brain tissue in vivo. The technique allows visualization and measurement of mechanical shear waves excited by lateral vibration of the skull. Quantitative measurements of displacement in three dimensions during vibration at 1200Hz were obtained by applying oscillatory magnetic field gradients at the same frequency during a MR imaging sequence. Contrast in the resulting phase images of the mouse brain is proportional to displacement. To obtain estimates of shear modulus, measured displacement fields were fitted to the shear wave equation. Validation of the procedure was performed on gel characterized by independent rheometry tests and on data from finite element simulations. Brain tissue is, in reality, viscoelastic and nonlinear. The current estimates of dynamic shear modulus are strictly relevant only to small oscillations at a specific frequency, but these estimates may be obtained at high frequencies (and thus high deformation rates), noninvasively throughout the brain. These data complement measurements of nonlinear viscoelastic properties obtained by others at slower rates, either ex vivo or invasively.
    keyword(s): Waves , Shear (Mechanics) , Biological tissues , Brain , Displacement , Shear modulus , Imaging AND Vibration ,
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      Measurement of the Dynamic Shear Modulus of Mouse Brain Tissue In Vivo by Magnetic Resonance Elastography

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    http://yetl.yabesh.ir/yetl1/handle/yetl/137487
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    contributor authorStefan M. Atay
    contributor authorChristopher D. Kroenke
    contributor authorArash Sabet
    contributor authorPhilip V. Bayly
    date accessioned2017-05-09T00:27:02Z
    date available2017-05-09T00:27:02Z
    date copyrightApril, 2008
    date issued2008
    identifier issn0148-0731
    identifier otherJBENDY-26799#021013_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137487
    description abstractIn this study, the magnetic resonance (MR) elastography technique was used to estimate the dynamic shear modulus of mouse brain tissue in vivo. The technique allows visualization and measurement of mechanical shear waves excited by lateral vibration of the skull. Quantitative measurements of displacement in three dimensions during vibration at 1200Hz were obtained by applying oscillatory magnetic field gradients at the same frequency during a MR imaging sequence. Contrast in the resulting phase images of the mouse brain is proportional to displacement. To obtain estimates of shear modulus, measured displacement fields were fitted to the shear wave equation. Validation of the procedure was performed on gel characterized by independent rheometry tests and on data from finite element simulations. Brain tissue is, in reality, viscoelastic and nonlinear. The current estimates of dynamic shear modulus are strictly relevant only to small oscillations at a specific frequency, but these estimates may be obtained at high frequencies (and thus high deformation rates), noninvasively throughout the brain. These data complement measurements of nonlinear viscoelastic properties obtained by others at slower rates, either ex vivo or invasively.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMeasurement of the Dynamic Shear Modulus of Mouse Brain Tissue In Vivo by Magnetic Resonance Elastography
    typeJournal Paper
    journal volume130
    journal issue2
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.2899575
    journal fristpage21013
    identifier eissn1528-8951
    keywordsWaves
    keywordsShear (Mechanics)
    keywordsBiological tissues
    keywordsBrain
    keywordsDisplacement
    keywordsShear modulus
    keywordsImaging AND Vibration
    treeJournal of Biomechanical Engineering:;2008:;volume( 130 ):;issue: 002
    contenttypeFulltext
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