Requirements for Accurate Estimation of Anisotropic Material Parameters by Magnetic Resonance Elastography: A Computational Study
Overview
Authors
Affiliations
Purpose: To establish the essential requirements for characterization of a transversely isotropic material by magnetic resonance elastography (MRE).
Theory And Methods: Three methods for characterizing nearly incompressible, transversely isotropic (ITI) materials were used to analyze data from closed-form expressions for traveling waves, finite-element (FE) simulations of waves in homogeneous ITI material, and FE simulations of waves in heterogeneous material. Key properties are the complex shear modulus μ , shear anisotropy ϕ=μ1/μ2-1, and tensile anisotropy ζ=E1/E2-1.
Results: Each method provided good estimates of ITI parameters when both slow and fast shear waves with multiple propagation directions were present. No method gave accurate estimates when the displacement field contained only slow shear waves, only fast shear waves, or waves with only a single propagation direction. Methods based on directional filtering are robust to noise and include explicit checks of propagation and polarization. Curl-based methods led to more accurate estimates in low noise conditions. Parameter estimation in heterogeneous materials is challenging for all methods.
Conclusions: Multiple shear waves, both slow and fast, with different propagation directions, must be present in the displacement field for accurate parameter estimates in ITI materials. Experimental design and data analysis can ensure that these requirements are met. Magn Reson Med 78:2360-2372, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
Wang S, Eckstein K, Guertler C, Johnson C, Okamoto R, McGarry M Brain Multiphys. 2024; 6.
PMID: 38933498 PMC: 11207183. DOI: 10.1016/j.brain.2024.100091.
Mechanical stiffness and anisotropy measured by MRE during brain development in the minipig.
Wang S, Guertler C, Okamoto R, Johnson C, McGarry M, Bayly P Neuroimage. 2023; 277:120234.
PMID: 37369255 PMC: 11081136. DOI: 10.1016/j.neuroimage.2023.120234.
Smith D, Caban-Rivera D, Williams L, Van Houten E, Bayly P, Paulsen K Phys Med Biol. 2023; 68(4).
PMID: 36652716 PMC: 9943592. DOI: 10.1088/1361-6560/acb482.
Smith D, Caban-Rivera D, McGarry M, Williams L, McIlvain G, Okamoto R Brain Multiphys. 2022; 3.
PMID: 36340644 PMC: 9635552. DOI: 10.1016/j.brain.2022.100051.
The combined importance of finite dimensions, anisotropy, and pre-stress in acoustoelastography.
Crutison J, Sun M, Royston T J Acoust Soc Am. 2022; 151(4):2403.
PMID: 35461517 PMC: 8993425. DOI: 10.1121/10.0010110.