Investigation of Modelling Parameters for Finite Element Analysis of MR Elastography

Introduction Magnetic resonance elastography (MRE) utilizes mechanically induced shear waves to attain material property measurements of in vivo tissue. Finite element analysis (FEA) can be used to replicate the technique in silico to aid in the testing and development of the MRE post-processing software. This study aimed to investigate the influence of modelling parameters upon FEA of MRE.

[1]  Adil Al-Mayah,et al.  Deformable modeling of human liver with contact surface , 2009, 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH).

[2]  Armando Manduca,et al.  MR elastography of human lung parenchyma: Technical development, theoretical modeling and in vivo validation , 2011, Journal of magnetic resonance imaging : JMRI.

[3]  Guy Nir,et al.  A framework for optimization‐based design of motion encoding in magnetic resonance elastography , 2015, Magnetic resonance in medicine.

[4]  K. An,et al.  Identification and quantification of myofascial taut bands with magnetic resonance elastography. , 2007, Archives of physical medicine and rehabilitation.

[5]  I. Sack,et al.  Horizontal shear wave scattering from a nonwelded interface observed by magnetic resonance elastography , 2007, Physics in medicine and biology.

[6]  Sim Heng Ong,et al.  Modeling shear modulus distribution in magnetic resonance elastography with piecewise constant level sets. , 2012, Magnetic resonance imaging.

[7]  Armando Manduca,et al.  Magnetic resonance elastography: Inversions in bounded media , 2009, Magnetic resonance in medicine.

[8]  K D Paulsen,et al.  Magnetic resonance elastography using 3D gradient echo measurements of steady-state motion. , 2001, Medical physics.

[10]  A. Manduca,et al.  Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. , 1995, Science.

[11]  L Mahoney,et al.  Efficiency of palpation in clinical detection of breast cancer. , 1982, Canadian Medical Association journal.

[12]  I. Sack,et al.  Algebraic Helmholtz inversion in planar magnetic resonance elastography , 2008, Physics in medicine and biology.

[13]  M. Fink,et al.  4J-3 A New Rheological Model Based on Fractional Derivatives for Biological Tissues , 2006, 2006 IEEE Ultrasonics Symposium.

[14]  Xavier Trosseille,et al.  Comparison of Tetrahedral and Hexahedral Meshes for Organ Finite Element Modelling: AnApplication to Kidney Impact , 2007 .

[15]  D. Klatt,et al.  A Simulation of the Magnetic Resonance Elastography Steady State Wave Response through Idealised Atherosclerotic Plaques , 2011 .

[16]  Armando Manduca,et al.  Local wavelength estimation for magnetic resonance elastography , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[17]  Armando Manduca,et al.  A finite element model for analyzing shear wave propagation observed in magnetic resonance elastography. , 2005, Journal of biomechanics.

[18]  J. F. Greenleaf,et al.  Magnetic resonance elastography: Non-invasive mapping of tissue elasticity , 2001, Medical Image Anal..