Literature DB >> 18244226

On the noninvasive determination of material parameters from a knowledge of elastic displacements theory and numerical simulation.

A J Romano1, J J Shirron, J A Bucaro.   

Abstract

In this paper, we present a formulation and numerical simulation for the noninvasive determination of the material parameter ratios (i.e., the Lame parameters divided by density) of an isotropic, inhomogenous elastic medium subject to time harmonic vibration. Given a knowledge of the displacements throughout the medium, a novel implementation of a variational formulation is used to determine the ratios lambda/rho and mu/rho. A theoretical formulation is presented and validated using numerical data obtained from a finite element method. The results indicate that the method may be applied locally within an inhomogenous medium, and that the corresponding material parameters can be recovered to a high degree of accuracy. In addition, the method does not appear to be subject to the typical wavelength constraints of previous methods.

Entities:  

Year:  1998        PMID: 18244226     DOI: 10.1109/58.677725

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  13 in total

1.  Surface response of a fractional order viscoelastic halfspace to surface and subsurface sources.

Authors:  F Can Meral; Thomas J Royston; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2009-12       Impact factor: 1.840

2.  Real time tissue elasticity imaging using the combined autocorrelation method.

Authors:  Tsuyoshi Shiina; Naotaka Nitta; Ei Ueno; Jeffrey C Bamber
Journal:  J Med Ultrason (2001)       Date:  2002-09       Impact factor: 1.314

3.  Rayleigh-Lamb wave propagation on a fractional order viscoelastic plate.

Authors:  F Can Meral; Thomas J Royston; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2011-02       Impact factor: 1.840

4.  Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography.

Authors:  Likun Tan; Matthew D J McGarry; Elijah E W Van Houten; Ming Ji; Ligin Solamen; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2016-08-31       Impact factor: 10.048

5.  Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials.

Authors:  Jonathan M Scott; Arvin Arani; Armando Manduca; Kiaran P McGee; Joshua D Trzasko; John Huston; Richard L Ehman; Matthew C Murphy
Journal:  Med Image Anal       Date:  2020-04-22       Impact factor: 8.545

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.  Calculating tissue shear modulus and pressure by 2D Log-Elastographic methods.

Authors:  Joyce R McLaughlin; Ning Zhang; Armando Manduca
Journal:  Inverse Probl       Date:  2010       Impact factor: 2.407

Review 8.  Advances and Future Direction of Magnetic Resonance Elastography.

Authors:  Huiming Dong; Richard D White; Arunark Kolipaka
Journal:  Top Magn Reson Imaging       Date:  2018-10

9.  Long-term in vivo imaging of viscoelastic properties of the mouse brain after controlled cortical impact.

Authors:  Thomas Boulet; Matthew L Kelso; Shadi F Othman
Journal:  J Neurotrauma       Date:  2013-08-01       Impact factor: 5.269

Review 10.  Review of MR elastography applications and recent developments.

Authors:  Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2012-10       Impact factor: 4.813

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.