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Magnetic Fields01:27

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A moving charge or a current creates a magnetic field in the surrounding space, in addition to its electric field. The magnetic field exerts a force on any other moving charge or current that is present in the field. Like an electric field, the magnetic field is also a vector field. At any position, the direction of the magnetic field is defined as the direction in which the north pole of a compass needle points.
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Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
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Estimation of transversely isotropic material properties from magnetic resonance elastography using the optimised

Renee Miller1,2, Arunark Kolipaka3, Martyn P Nash2,4

  • 1Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.

International Journal for Numerical Methods in Biomedical Engineering
|March 13, 2018
PubMed
Summary

This study shows the virtual fields method (VFM) can estimate anisotropic myocardial stiffness using magnetic resonance elastography (MRE) data. The method

Keywords:
inverse methodsmagnetic resonance elastographymyocardial stiffnesstransverse isotropyvirtual fields method

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Cardiovascular Mechanics

Background:

  • Myocardial stiffness estimation using magnetic resonance elastography (MRE) traditionally focuses on isotropic properties.
  • Anisotropic stiffness provides deeper insights into myocardial structural changes, crucial for understanding pathologies like diastolic heart failure.
  • The virtual fields method (VFM) offers a promising approach for deriving material stiffness from imaging data.

Purpose of the Study:

  • To apply an optimized virtual fields method (VFM) for identifying transversely isotropic material properties of the myocardium.
  • To evaluate VFM's performance using simulated left ventricular (LV) displacements and experimental MRE phantom data.
  • To assess the influence of different material model formulations (3- and 5-parameter) on stiffness estimation.

Main Methods:

  • Implementation of an optimized VFM to analyze harmonic displacement data from MRE.
  • Application to a left ventricular (LV) model with a histology-derived fiber field and to isotropic phantom MRE data.
  • Comparison of 3-parameter and 5-parameter transversely isotropic constitutive models.

Main Results:

  • Successful identification of transversely isotropic material properties in the simulated LV model.
  • Demonstrated dependence of accurate property estimation on loading conditions, noise levels, and excitation frequency.
  • Shear moduli showed higher robustness to noise compared to other estimated parameters.

Conclusions:

  • The virtual fields method (VFM) shows feasibility for identifying transversely isotropic myocardial material properties from MRE.
  • Limitations related to loading, noise, and frequency necessitate careful consideration for clinical application.
  • This preliminary study highlights VFM's potential for advanced biomechanical characterization of the heart.