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Identification process based on shear wave propagation within a phantom using finite element modelling and magnetic resonance elastography

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  • Gwladys E. Leclerc
  • Fabrice Charleux
  • Marie-Christine Ho Ba Tho
  • Sabine F. Bensamoun

Abstract

Magnetic resonance elastography (MRE), based on shear wave propagation generated by a specific driver, is a non-invasive exam performed in clinical practice to improve the liver diagnosis. The purpose was to develop a finite element (FE) identification method for the mechanical characterisation of phantom mimicking soft tissues investigated with MRE technique. Thus, a 3D FE phantom model, composed of the realistic MRE liver boundary conditions, was developed to simulate the shear wave propagation with the software ABAQUS. The assumptions of homogeneity and elasticity were applied to the FE phantom model. Different ranges of mesh size, density and Poisson's ratio were tested in order to develop the most representative FE phantom model. The simulated wave displacement was visualised with a dynamic implicit analysis. Subsequently, an identification process was performed with a cost function and an optimisation loop provided the optimal elastic properties of the phantom. The present identification process was validated on a phantom model, and the perspective will be to apply this method on abdominal tissues for the set-up of new clinical MRE protocols that could be applied for the follow-up of the effects of treatments.

Suggested Citation

  • Gwladys E. Leclerc & Fabrice Charleux & Marie-Christine Ho Ba Tho & Sabine F. Bensamoun, 2015. "Identification process based on shear wave propagation within a phantom using finite element modelling and magnetic resonance elastography," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(5), pages 485-491, April.
    • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:5:p:485-491
    DOI: 10.1080/10255842.2013.818664
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    References listed on IDEAS

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    1. S. Bensamoun & L. Wang & L. Robert & F. Charleux & J.P. Latrive & M.C. Ho Ba Tho, 2008. "Measurement of the liver stiffness with two imaging techniques: magnetic resonance elastography and Fibroscan," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(S1), pages 31-32.
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