Literature DB >> 29106765

Relative identifiability of anisotropic properties from magnetic resonance elastography.

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

Abstract

Although magnetic resonance elastography (MRE) has been used to estimate isotropic stiffness in the heart, myocardium is known to have anisotropic properties. This study investigated the determinability of global transversely isotropic material parameters using MRE and finite-element modeling (FEM). A FEM-based material parameter identification method, using a displacement-matching objective function, was evaluated in a gel phantom and simulations of a left ventricular (LV) geometry with a histology-derived fiber field. Material parameter estimation was performed in the presence of Gaussian noise. Parameter sweeps were analyzed and characteristics of the Hessian matrix at the optimal solution were used to evaluate the determinability of each constitutive parameter. Four out of five material stiffness parameters (Young's modulii E1 and E3 , shear modulus G13 and damping coefficient s), which describe a transversely isotropic linear elastic material, were well determined from the MRE displacement field using an iterative FEM inversion method. However, the remaining parameter, Poisson's ratio, was less identifiable. In conclusion, Young's modulii, shear modulii and damping can theoretically be well determined from MRE data, but Poisson's ratio is not as well determined and could be set to a reasonable value for biological tissue (close to 0.5).
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  finite-element modelling; magnetic resonance elastography; parameter identifiability; phantom imaging

Mesh:

Year:  2017        PMID: 29106765      PMCID: PMC5936684          DOI: 10.1002/nbm.3848

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  59 in total

1.  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

Review 2.  Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging.

Authors:  Patrick Helm; Mirza Faisal Beg; Michael I Miller; Raimond L Winslow
Journal:  Ann N Y Acad Sci       Date:  2005-06       Impact factor: 5.691

3.  Combining MR elastography and diffusion tensor imaging for the assessment of anisotropic mechanical properties: a phantom study.

Authors:  Eric C Qin; Ralph Sinkus; Guangqiang Geng; Shaokoon Cheng; Michael Green; Caroline D Rae; Lynne E Bilston
Journal:  J Magn Reson Imaging       Date:  2012-09-17       Impact factor: 4.813

4.  Tissue structure and inflammatory processes shape viscoelastic properties of the mouse brain.

Authors:  Jason M Millward; Jing Guo; Dominique Berndt; Jürgen Braun; Ingolf Sack; Carmen Infante-Duarte
Journal:  NMR Biomed       Date:  2015-05-12       Impact factor: 4.044

Review 5.  Current perspectives in diastolic dysfunction and diastolic heart failure.

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

6.  Elasticity-based determination of isovolumetric phases in the human heart.

Authors:  Thomas Elgeti; Mark Beling; Bernd Hamm; Jürgen Braun; Ingolf Sack
Journal:  J Cardiovasc Magn Reson       Date:  2010-10-27       Impact factor: 5.364

7.  Evaluation of a rapid, multiphase MRE sequence in a heart-simulating phantom.

Authors:  Arunark Kolipaka; Kiaran P McGee; Philip A Araoz; Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

8.  Progression of myocardial remodeling and mechanical dysfunction in the spontaneously hypertensive rat.

Authors:  Ian J LeGrice; Adèle J Pope; Gregory B Sands; Gillian Whalley; Robert N Doughty; Bruce H Smaill
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-09-21       Impact factor: 4.733

9.  Anisotropic mechanical properties of magnetically aligned fibrin gels measured by magnetic resonance elastography.

Authors:  Ravi Namani; Matthew D Wood; Shelly E Sakiyama-Elbert; Philip V Bayly
Journal:  J Biomech       Date:  2009-08-05       Impact factor: 2.712

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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  4 in total

1.  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

2.  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

3.  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

Review 4.  Advances and Future Direction of Magnetic Resonance Elastography.

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

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