ArticleMagnetic resonance in medicine2025
Mechanically anisotropic phantoms for magnetic resonance elastography.
Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Acoustic Detection of Intracranial Cavitation Induced by Blunt Impacts in Polyacrylamide Human Head Models Across Varying Orientations.Annals of biomedical engineering · 2026Article
- Reverberant optical coherence elastography using 3D-printed randomly distributed scatterers: elasticity mapping of hydrogels in culture dishes.Journal of biomedical optics · 2025Article
- 3D rotational shear wave elasticity imaging (3D-RSWEI) in anisotropic lattice phantoms.Journal of the mechanical behavior of biomedical materials · 2025Article
- Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.Acta biomaterialia · 2025Article
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Authors and funding
9 authors.
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Abstract
purposeImaging 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.
methodsDirectionally 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,
resultsIn benchtop tests, geometrically scaled lattice composites exhibited the following anisotropic properties:
conclusionAnisotropic 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.
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