Literature DB >> 26476762

Estimation of material parameters from slow and fast shear waves in an incompressible, transversely isotropic material.

Dennis J Tweten1, Ruth J Okamoto2, John L Schmidt2, Joel R Garbow3, Philip V Bayly4.   

Abstract

This paper describes a method to estimate mechanical properties of soft, anisotropic materials from measurements of shear waves with specific polarization and propagation directions. This method is applicable to data from magnetic resonance elastography (MRE), which is a method for measuring shear waves in live subjects or in vitro samples. Here, we simulate MRE data using finite element analysis. A nearly incompressible, transversely isotropic (ITI) material model with three parameters (shear modulus, shear anisotropy, and tensile anisotropy) is used, which is appropriate for many fibrous, biological tissues. Both slow and fast shear waves travel concurrently through such a material with speeds that depend on the propagation direction relative to fiber orientation. A three-parameter estimation approach based on directional filtering and isolation of slow and fast shear wave components (directional filter inversion, or DFI) is introduced. Wave speeds of each isolated shear wave component are estimated using local frequency estimation (LFE), and material properties are calculated using weighted least squares. Data from multiple finite element simulations are used to assess the accuracy and reliability of DFI for estimation of anisotropic material parameters.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anisotropy; Inversion algorithms; MR elastography; Shear waves; Transversely isotropic material

Mesh:

Year:  2015        PMID: 26476762      PMCID: PMC4663187          DOI: 10.1016/j.jbiomech.2015.09.009

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  19 in total

1.  Complex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation.

Authors:  T E Oliphant; A Manduca; R L Ehman; J F Greenleaf
Journal:  Magn Reson Med       Date:  2001-02       Impact factor: 4.668

2.  Spatio-temporal directional filtering for improved inversion of MR elastography images.

Authors:  A Manduca; D S Lake; S A Kruse; R L Ehman
Journal:  Med Image Anal       Date:  2003-12       Impact factor: 8.545

3.  Viscoelastic properties of liver measured by oscillatory rheometry and multifrequency magnetic resonance elastography.

Authors:  Dieter Klatt; Christian Friedrich; Yasmin Korth; Robert Vogt; Jürgen Braun; Ingolf Sack
Journal:  Biorheology       Date:  2010       Impact factor: 1.875

4.  Viscoelasticity-based MR elastography of skeletal muscle.

Authors:  Dieter Klatt; Sebastian Papazoglou; Jürgen Braun; Ingolf Sack
Journal:  Phys Med Biol       Date:  2010-10-15       Impact factor: 3.609

5.  Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography.

Authors:  E H Clayton; J R Garbow; P V Bayly
Journal:  Phys Med Biol       Date:  2011-03-22       Impact factor: 3.609

6.  Imaging anisotropic and viscous properties of breast tissue by magnetic resonance-elastography.

Authors:  R Sinkus; M Tanter; S Catheline; J Lorenzen; C Kuhl; E Sondermann; M Fink
Journal:  Magn Reson Med       Date:  2005-02       Impact factor: 4.668

7.  Determination and analysis of guided wave propagation using magnetic resonance elastography.

Authors:  A J Romano; P B Abraham; P J Rossman; J A Bucaro; R L Ehman
Journal:  Magn Reson Med       Date:  2005-10       Impact factor: 4.668

8.  Shear wave group velocity inversion in MR elastography of human skeletal muscle.

Authors:  Sebastian Papazoglou; Jens Rump; Jürgen Braun; Ingolf Sack
Journal:  Magn Reson Med       Date:  2006-09       Impact factor: 4.668

9.  In vivo brain viscoelastic properties measured by magnetic resonance elastography.

Authors:  Michael A Green; Lynne E Bilston; Ralph Sinkus
Journal:  NMR Biomed       Date:  2008-08       Impact factor: 4.044

10.  Shear wave propagation in anisotropic soft tissues and gels.

Authors:  Ravi Namani; Philip V Bayly
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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  25 in total

Review 1.  Pre-clinical MR elastography: Principles, techniques, and applications.

Authors:  P V Bayly; J R Garbow
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

2.  Analytical solution for converging elliptic shear wave in a bounded transverse isotropic viscoelastic material with nonhomogeneous outer boundary.

Authors:  Martina Guidetti; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2018-10       Impact factor: 1.840

3.  Magnetic resonance elastography of slow and fast shear waves illuminates differences in shear and tensile moduli in anisotropic tissue.

Authors:  J L Schmidt; D J Tweten; A N Benegal; C H Walker; T E Portnoi; R J Okamoto; J R Garbow; P V Bayly
Journal:  J Biomech       Date:  2016-02-15       Impact factor: 2.712

4.  Converging super-elliptic torsional shear waves in a bounded transverse isotropic viscoelastic material with nonhomogeneous outer boundary.

Authors:  Martina Guidetti; Diego Caratelli; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

5.  Measurement of anisotropic mechanical properties in porcine brain white matter ex vivo using magnetic resonance elastography.

Authors:  J L Schmidt; D J Tweten; A A Badachhape; A J Reiter; R J Okamoto; J R Garbow; P V Bayly
Journal:  J Mech Behav Biomed Mater       Date:  2017-12-09

6.  Estimation of transversely isotropic material properties from magnetic resonance elastography using the optimised virtual fields method.

Authors:  Renee Miller; Arunark Kolipaka; Martyn P Nash; Alistair A Young
Journal:  Int J Numer Method Biomed Eng       Date:  2018-04-23       Impact factor: 2.747

7.  Mechanical properties of porcine brain tissue in vivo and ex vivo estimated by MR elastography.

Authors:  Charlotte A Guertler; Ruth J Okamoto; John L Schmidt; Andrew A Badachhape; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech       Date:  2018-01-31       Impact factor: 2.712

Review 8.  Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Authors:  Ziying Yin; Anthony J Romano; Armando Manduca; Richard L Ehman; John Huston
Journal:  Top Magn Reson Imaging       Date:  2018-10

9.  A nonlinear anisotropic inverse method for computational dissection of inhomogeneous planar tissues.

Authors:  Colleen M Witzenburg; Victor H Barocas
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-05-02       Impact factor: 1.763

10.  Observation of direction-dependent mechanical properties in the human brain with multi-excitation MR elastography.

Authors:  Aaron T Anderson; Elijah E W Van Houten; Matthew D J McGarry; Keith D Paulsen; Joseph L Holtrop; Bradley P Sutton; John G Georgiadis; Curtis L Johnson
Journal:  J Mech Behav Biomed Mater       Date:  2016-03-18
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