Mechanically anisotropic phantoms for magnetic resonance elastography

Abstract

Purpose: Imaging phantoms with known anisotropic mechanical properties are needed to evaluate magnetic resonance elastography (MRE) methods to estimate anisotropic parameters. The aims of this study were to fabricate mechanically anisotropic MRE phantoms, characterize their mechanical behavior by direct testing, then assess the accuracy of MRE estimates of anisotropic properties using a transversely isotropic nonlinear inversion (TI-NLI) algorithm. Methods: Directionally scaled and unscaled lattices were designed to exhibit anisotropic or isotropic mechanical properties. Lattices were three-dimensionally printed in poly(ethelyne glycol) diacrylate using a commercial digital light processing printer, then infilled with gelatin to form a composite material. Benchtop testing determined two shear stiffnesses, (Formula presented.) and (Formula presented.), governing loading parallel and perpendicular to the symmetry axis, and two analogous Young's moduli (Formula presented.) and (Formula presented.). From these measures, shear anisotropy (Formula presented.) = (Formula presented.) and tensile anisotropy (Formula presented.) = (Formula presented.) were calculated. Three phantoms were driven by a central actuator and imaged with MRE at frequencies from 300 to 500 Hz. From MRE data, the TI-NLI algorithm estimated maps of (Formula presented.), (Formula presented.), and (Formula presented.). Results: In benchtop tests, geometrically scaled lattice composites exhibited the following anisotropic properties: (Formula presented.) = 6.1 ± 0.7 kPa, (Formula presented.) = 0.83 ± 0.13, (Formula presented.) = 0.78 ± 0.09} (mean ± standard deviation). MRE of scaled lattice composites revealed elliptical wavefields; TI-NLI analysis identified the following median property ranges: (Formula presented.) = 11–19 kPa, (Formula presented.) = 0.6–1.0, (Formula presented.) = 0.8–1.6}. Conclusion: Anisotropic MRE phantoms are created by embedding anisotropic three-dimensionally printed lattices into a softer matrix. The TI-NLI algorithm accurately estimates spatial contrast in anisotropic properties.