Literature DB >> 25697960

Measuring the linear and nonlinear elastic properties of brain tissue with shear waves and inverse analysis.

Yi Jiang1, Guoyang Li, Lin-Xue Qian, Si Liang, Michel Destrade, Yanping Cao.   

Abstract

We use supersonic shear wave imaging (SSI) technique to measure not only the linear but also the nonlinear elastic properties of brain matter. Here, we tested six porcine brains ex vivo and measured the velocities of the plane shear waves induced by acoustic radiation force at different states of pre-deformation when the ultrasonic probe is pushed into the soft tissue. We relied on an inverse method based on the theory governing the propagation of small-amplitude acoustic waves in deformed solids to interpret the experimental data. We found that, depending on the subjects, the resulting initial shear modulus [Formula: see text] varies from 1.8 to 3.2 kPa, the stiffening parameter [Formula: see text] of the hyperelastic Demiray-Fung model from 0.13 to 0.73, and the third- [Formula: see text] and fourth-order [Formula: see text] constants of weakly nonlinear elasticity from [Formula: see text]1.3 to [Formula: see text]20.6 kPa and from 3.1 to 8.7 kPa, respectively. Paired [Formula: see text] test performed on the experimental results of the left and right lobes of the brain shows no significant difference. These values are in line with those reported in the literature on brain tissue, indicating that the SSI method, combined to the inverse analysis, is an efficient and powerful tool for the mechanical characterization of brain tissue, which is of great importance for computer simulation of traumatic brain injury and virtual neurosurgery.

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Year:  2015        PMID: 25697960     DOI: 10.1007/s10237-015-0658-0

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  8 in total

1.  Generalization of the Zabolotskaya equation to all incompressible isotropic elastic solids.

Authors:  Michel Destrade; Edvige Pucci; Giuseppe Saccomandi
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-03       Impact factor: 2.704

2.  Analyzing acoustoelastic effect of shear wave elastography data for perfused and hydrated soft tissues using a macromolecular network inspired model.

Authors:  D Rosen; J Jiang
Journal:  J Biomech       Date:  2019-09-30       Impact factor: 2.712

3.  Fourier-Domain Shift Matching: A Robust Time-of-Flight Approach for Shear Wave Speed Estimation.

Authors:  David Rosen; Jingfeng Jiang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-05       Impact factor: 2.725

4.  Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling.

Authors:  Yuan Feng; Chung-Hao Lee; Lining Sun; Songbai Ji; Xuefeng Zhao
Journal:  J Mech Behav Biomed Mater       Date:  2016-09-16

5.  Numerical Simulation of Focused Shock Shear Waves in Soft Solids and a Two-Dimensional Nonlinear Homogeneous Model of the Brain.

Authors:  B Giammarinaro; F Coulouvrat; G Pinton
Journal:  J Biomech Eng       Date:  2016-04       Impact factor: 2.097

Review 6.  Mechanics of ultrasound elastography.

Authors:  Guo-Yang Li; Yanping Cao
Journal:  Proc Math Phys Eng Sci       Date:  2017-03-01       Impact factor: 2.704

7.  Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography.

Authors:  Weirong Ge; Graham Brooker; Ritu Mogra; Jon Hyett
Journal:  Sensors (Basel)       Date:  2021-12-31       Impact factor: 3.576

Review 8.  Why Are Viscosity and Nonlinearity Bound to Make an Impact in Clinical Elastographic Diagnosis?

Authors:  Guillermo Rus; Inas H Faris; Jorge Torres; Antonio Callejas; Juan Melchor
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  8 in total

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