Literature DB >> 28097687

Requirements for accurate estimation of anisotropic material parameters by magnetic resonance elastography: A computational study.

D J Tweten1, R J Okamoto1, P V Bayly1,2.   

Abstract

PURPOSE: To establish the essential requirements for characterization of a transversely isotropic material by magnetic resonance elastography (MRE). THEORY AND METHODS: Three methods for characterizing nearly incompressible, transversely isotropic (ITI) materials were used to analyze data from closed-form expressions for traveling waves, finite-element (FE) simulations of waves in homogeneous ITI material, and FE simulations of waves in heterogeneous material. Key properties are the complex shear modulus μ2 , shear anisotropy ϕ=μ1/μ2-1, and tensile anisotropy ζ=E1/E2-1.
RESULTS: Each method provided good estimates of ITI parameters when both slow and fast shear waves with multiple propagation directions were present. No method gave accurate estimates when the displacement field contained only slow shear waves, only fast shear waves, or waves with only a single propagation direction. Methods based on directional filtering are robust to noise and include explicit checks of propagation and polarization. Curl-based methods led to more accurate estimates in low noise conditions. Parameter estimation in heterogeneous materials is challenging for all methods.
CONCLUSIONS: Multiple shear waves, both slow and fast, with different propagation directions, must be present in the displacement field for accurate parameter estimates in ITI materials. Experimental design and data analysis can ensure that these requirements are met. Magn Reson Med 78:2360-2372, 2017.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR elastography; anisotropy; heterogeneity; inversion algorithms; shear waves; transversely isotropic material

Mesh:

Year:  2017        PMID: 28097687      PMCID: PMC5513802          DOI: 10.1002/mrm.26600

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  20 in total

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

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Journal:  Med Image Anal       Date:  2003-12       Impact factor: 8.545

2.  Transmission, attenuation and reflection of shear waves in the human brain.

Authors:  Erik H Clayton; Guy M Genin; Philip V Bayly
Journal:  J R Soc Interface       Date:  2012-06-06       Impact factor: 4.118

3.  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

4.  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

5.  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

6.  On the elasticity of transverse isotropic soft tissues (L).

Authors:  Daniel Royer; Jean-Luc Gennisson; Thomas Deffieux; Mickaël Tanter
Journal:  J Acoust Soc Am       Date:  2011-05       Impact factor: 1.840

7.  Three-parameter shear wave inversion in MR elastography of incompressible transverse isotropic media: Application to in vivo lower leg muscles.

Authors:  Jing Guo; Sebastian Hirsch; Michael Scheel; Jürgen Braun; Ingolf Sack
Journal:  Magn Reson Med       Date:  2015-05-19       Impact factor: 4.668

8.  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

9.  Viscoelastic properties of soft gels: comparison of magnetic resonance elastography and dynamic shear testing in the shear wave regime.

Authors:  R J Okamoto; E H Clayton; P V Bayly
Journal:  Phys Med Biol       Date:  2011-09-09       Impact factor: 3.609

10.  Measurements of mechanical anisotropy in brain tissue and implications for transversely isotropic material models of white matter.

Authors:  Yuan Feng; Ruth J Okamoto; Ravi Namani; Guy M Genin; Philip V Bayly
Journal:  J Mech Behav Biomed Mater       Date:  2013-04-17
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  14 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.  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

4.  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

5.  Statistical Characterization of Human Brain Deformation During Mild Angular Acceleration Measured In Vivo by Tagged Magnetic Resonance Imaging.

Authors:  Deva D Chan; Andrew K Knutsen; Yuan-Chiao Lu; Sarah H Yang; Elizabeth Magrath; Wen-Tung Wang; Philip V Bayly; John A Butman; Dzung L Pham
Journal:  J Biomech Eng       Date:  2018-10-01       Impact factor: 2.097

6.  Quantifying stability of parameter estimates forin vivonearly incompressible transversely-isotropic brain MR elastography.

Authors:  Dhrubo Jyoti; Matthew McGarry; Elijah Van Houten; Damian Sowinski; Philip V Bayly; Curtis L Johnson; Keith Paulsen
Journal:  Biomed Phys Eng Express       Date:  2022-04-05

Review 7.  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

Review 8.  MR elastography of the brain and its application in neurological diseases.

Authors:  Matthew C Murphy; John Huston; Richard L Ehman
Journal:  Neuroimage       Date:  2017-10-07       Impact factor: 6.556

9.  Relative identifiability of anisotropic properties from magnetic resonance elastography.

Authors:  Renee Miller; Arunark Kolipaka; Martyn P Nash; Alistair A Young
Journal:  NMR Biomed       Date:  2017-11-06       Impact factor: 4.044

10.  Anisotropic composite material phantom to improve skeletal muscle characterization using magnetic resonance elastography.

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Journal:  J Mech Behav Biomed Mater       Date:  2018-09-25
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