Shear Wave Propagation and Estimation of Material Parameters in a Nonlinear, Fibrous Material

被引:15
作者
Hou, Zuoxian [1 ]
Okamoto, Ruth J. [1 ]
Bayly, Philip, V [1 ]
机构
[1] Washington Univ, Dept Mech Engn & Mat Sci, St Louis, MO 63130 USA
来源
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME | 2020年 / 142卷 / 05期
关键词
MAGNETIC-RESONANCE ELASTOGRAPHY; BRAIN WHITE-MATTER; MECHANICAL-PROPERTIES; MR ELASTOGRAPHY; LIVER STIFFNESS; TISSUES; MODEL;
D O I
10.1115/1.4044504
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
This paper describes the propagation of shear waves in a Holzapfel-Gasser-Ogden (HGO) material and investigates the potential of magnetic resonance elastography (MRE) for estimating parameters of the HGO material model from experimental data. In most MRE studies the behavior of the material is assumed to be governed by linear, isotropic elasticity or viscoelasticity. In contrast, biological tissue is often nonlinear and anisotropic with a fibrous structure. In such materials, application of a quasi-static deformation (predeformation) plays an important role in shear wave propagation. Closed form expressions for shear wave speeds in an HGO material with a single family of fibers were found in a reference (undeformed) configuration and after imposed predeformations. These analytical expressions show that shear wave speeds are affected by the parameters (mu,kappa(1),kappa(2),kappa) of the HGO model and by the direction and amplitude of the predeformations. Simulations of corresponding finite element (FE) models confirm the predicted influence of HGO model parameters on speeds of shear waves with specific polarization and propagation directions. Importantly, the dependence of wave speeds on the parameters of the HGO model and imposed deformations could ultimately allow the noninvasive estimation of material parameters in vivo from experimental shear wave image data.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Identification process based on shear wave propagation within a phantom using finite element modelling and magnetic resonance elastography
    Leclerc, Gwladys E.
    Charleux, Fabrice
    Tho, Marie-Christine Ho Ba
    Bensamoun, Sabine F.
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2015, 18 (05) : 485 - 491
  • [32] SHEAR WAVE SPEED ESTIMATION USING REVERBERANT SHEAR WAVE FIELDS: IMPLEMENTATION AND FEASIBILITY STUDIES
    Ormachea, Juvenal
    Castaneda, Benjamin
    Parker, Kevin J.
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2018, 44 (05) : 963 - 977
  • [33] Correlation between linear and nonlinear material functions under large amplitude oscillatory shear
    Liu, Zhiwei
    Xiong, Zhongqiang
    Nie, Zhijun
    Yu, Wei
    PHYSICS OF FLUIDS, 2020, 32 (09)
  • [34] Error in Estimates of Tissue Material Properties from Shear Wave Dispersion Ultrasound Vibrometry
    Urban, Matthew W.
    Chen, Shigao
    Greenleaf, James F.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2009, 56 (04) : 748 - 758
  • [35] Sensitivity analysis of Johnson-Cook material parameters on adiabatic shear in different directions
    Xu, Nianwei
    Wang, Hui
    Men, Xiuhua
    Fu, Xiuli
    MATERIALS SCIENCE AND TECHNOLOGY, 2020, 36 (04) : 443 - 452
  • [36] A New Method for Shear Wave Speed Estimation in Shear Wave Elastography
    Engel, Aaron J.
    Bashford, Gregory R.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2015, 62 (12) : 2106 - 2114
  • [37] Changes in shear wave propagation within skeletal muscle during active and passive force generation
    Wang, Allison B.
    Perreault, Eric J.
    Royston, Thomas J.
    Lee, Sabrina S. M.
    JOURNAL OF BIOMECHANICS, 2019, 94 : 115 - 122
  • [38] Reverberant shear wave fields and estimation of tissue properties
    Parker, Kevin J.
    Ormachea, Juvenal
    Zvietcovich, Fernando
    Castaneda, Benjamin
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (03) : 1046 - 1061
  • [39] In situ estimation of tendon material properties: Differences between muscles of the feline hindlimb
    Cui, Lei
    Maas, Huub
    Perreault, Eric J.
    Sandercock, Thomas G.
    JOURNAL OF BIOMECHANICS, 2009, 42 (06) : 679 - 685
  • [40] A novel evaluation of fracture toughness for random fibrous material
    Li, Datao
    Li, Yan
    Yu, Wenshan
    Wang, Binhua
    Lu, Pengmin
    Shen, Shengping
    COMPOSITE STRUCTURES, 2020, 243