Literature DB >> 29528568

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

Renee Miller1,2, Arunark Kolipaka3, Martyn P Nash2,4, Alistair A Young1,2.   

Abstract

Magnetic resonance elastography (MRE) has been used to estimate isotropic myocardial stiffness. However, anisotropic stiffness estimates may give insight into structural changes that occur in the myocardium as a result of pathologies such as diastolic heart failure. The virtual fields method (VFM) has been proposed for estimating material stiffness from image data. This study applied the optimised VFM to identify transversely isotropic material properties from both simulated harmonic displacements in a left ventricular (LV) model with a fibre field measured from histology as well as isotropic phantom MRE data. Two material model formulations were implemented, estimating either 3 or 5 material properties. The 3-parameter formulation writes the transversely isotropic constitutive relation in a way that dissociates the bulk modulus from other parameters. Accurate identification of transversely isotropic material properties in the LV model was shown to be dependent on the loading condition applied, amount of Gaussian noise in the signal, and frequency of excitation. Parameter sensitivity values showed that shear moduli are less sensitive to noise than the other parameters. This preliminary investigation showed the feasibility and limitations of using the VFM to identify transversely isotropic material properties from MRE images of a phantom as well as simulated harmonic displacements in an LV geometry.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  inverse methods; magnetic resonance elastography; myocardial stiffness; transverse isotropy; virtual fields method

Mesh:

Year:  2018        PMID: 29528568      PMCID: PMC5993646          DOI: 10.1002/cnm.2979

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  49 in total

1.  Vibration-synchronized magnetic resonance imaging for the detection of myocardial elasticity changes.

Authors:  Thomas Elgeti; Heiko Tzschätzsch; Sebastian Hirsch; Dagmar Krefting; Dieter Klatt; Thoralf Niendorf; Jürgen Braun; Ingolf Sack
Journal:  Magn Reson Med       Date:  2012-01-31       Impact factor: 4.668

2.  In vivo quantitative mapping of myocardial stiffening and transmural anisotropy during the cardiac cycle.

Authors:  Mathieu Couade; Mathieu Pernot; Emmanuel Messas; Alain Bel; Maguette Ba; Albert Hagege; Mathias Fink; Mickael Tanter
Journal:  IEEE Trans Med Imaging       Date:  2010-09-16       Impact factor: 10.048

3.  Shear-wave amplitudes measured with cardiac MR elastography for diagnosis of diastolic dysfunction.

Authors:  Thomas Elgeti; Fabian Knebel; Robert Hättasch; Bernd Hamm; Jürgen Braun; Ingolf Sack
Journal:  Radiology       Date:  2014-01-19       Impact factor: 11.105

4.  Magnetic resonance elastography as a method to estimate myocardial contractility.

Authors:  Arunark Kolipaka; Shivani R Aggarwal; Kiaran P McGee; Nandan Anavekar; Armando Manduca; Richard L Ehman; Philip A Araoz
Journal:  J Magn Reson Imaging       Date:  2012-02-14       Impact factor: 4.813

5.  In vivo assessment of MR elastography-derived effective end-diastolic myocardial stiffness under different loading conditions.

Authors:  Arunark Kolipaka; Kiaran P McGee; Armando Manduca; Nandan Anavekar; Richard L Ehman; Philip A Araoz
Journal:  J Magn Reson Imaging       Date:  2011-05       Impact factor: 4.813

Review 6.  Current perspectives in diastolic dysfunction and diastolic heart failure.

Authors:  Adelino F Leite-Moreira
Journal:  Heart       Date:  2006-05       Impact factor: 5.994

7.  In vivo quantification of myocardial stiffness in hypertensive porcine hearts using MR elastography.

Authors:  Ria Mazumder; Samuel Schroeder; Xiaokui Mo; Bradley D Clymer; Richard D White; Arunark Kolipaka
Journal:  J Magn Reson Imaging       Date:  2016-08-26       Impact factor: 4.813

8.  MR elastography as a method for the assessment of myocardial stiffness: comparison with an established pressure-volume model in a left ventricular model of the heart.

Authors:  Arunark Kolipaka; Kiaran P McGee; Philip A Araoz; Kevin J Glaser; Armando Manduca; Anthony J Romano; Richard L Ehman
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

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

Authors:  D J Tweten; R J Okamoto; P V Bayly
Journal:  Magn Reson Med       Date:  2017-01-17       Impact factor: 4.668

10.  Patient-Specific Models of Cardiac Biomechanics.

Authors:  Adarsh Krishnamurthy; Christopher T Villongco; Joyce Chuang; Lawrence R Frank; Vishal Nigam; Ernest Belezzuoli; Paul Stark; David E Krummen; Sanjiv Narayan; Jeffrey H Omens; Andrew D McCulloch; Roy Cp Kerckhoffs
Journal:  J Comput Phys       Date:  2013-07-01       Impact factor: 3.553

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  2 in total

1.  Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography.

Authors:  Matthew McGarry; Elijah Van Houten; Damian Sowinski; Dhrubo Jyoti; Daniel R Smith; Diego A Caban-Rivera; Grace McIlvain; Philip Bayly; Curtis L Johnson; John Weaver; Keith Paulsen
Journal:  Med Image Anal       Date:  2022-03-23       Impact factor: 13.828

2.  Shear wave speeds in nearly-incompressible fibrous materials with two fiber families.

Authors:  Zuoxian Hou; Philip V Bayly; Ruth J Okamoto
Journal:  J Acoust Soc Am       Date:  2021-02       Impact factor: 1.840

  2 in total

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