ArticlePhysics in medicine and biology2018
Phantom evaluations of nonlinear inversion MR elastography.
Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Interface geometry governs probe insertion mechanics and electrode deviation in layered brain-mimicking phantoms for deep brain stimulation.Biomechanics and modeling in mechanobiology · 2026Article
- Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.Acta biomaterialia · 2025Article
- Viscoelastic polyacrylamide MR elastography phantoms with tunable damping ratio independent of shear stiffness.Journal of the mechanical behavior of biomedical materials · 2024Article
- Post-mortem changes of anisotropic mechanical properties in the porcine brain assessed by MR elastography.Brain multiphysics · 2024Article
- The contributions of relative brain viscosity to brain function and health.Brain communications · 2024Review
- Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms.Magma (New York, N.Y.) · 2023Review
- Article
- Impact of material homogeneity assumption on cortical stiffness estimates by MR elastography.Magnetic resonance in medicine · 2022Article
- Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography.Medical image analysis · 2022Article
- Evaluation of cerebral cortex viscoelastic property estimation with nonlinear inversion magnetic resonance elastography.Physics in medicine and biology · 2022Article
- Effect of Aging on the Viscoelastic Properties of Hippocampal Subfields Assessed with High-Resolution MR Elastography.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- MR elastography: Principles, guidelines, and terminology.Magnetic resonance in medicine · 2021Review
- Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy.Journal of child neurology · 2020Article
- Towards noninvasive estimation of tumour pressure by utilising MR elastography and nonlinear biomechanical models: a simulation and phantom study.Scientific reports · 2020Article
- Mechanical property alterations across the cerebral cortex due to Alzheimer's disease.Brain communications · 2020Article
- Reliable preparation of agarose phantoms for use in quantitative magnetic resonance elastography.Journal of the mechanical behavior of biomedical materials · 2019Article
- Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
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Abstract
This study evaluated non-linear inversion MRE (NLI-MRE) based on viscoelastic governing equations to determine its sensitivity to small, low contrast inclusions and interface changes in shear storage modulus and damping ratio. Reconstruction parameters identical to those used in recent in vivo MRE studies of mechanical property variations in small brain structures were applied. NLI-MRE was evaluated on four phantoms with contrast in stiffness and damping ratio. Image contrast to noise ratio was assessed as a function of inclusion diameter and property contrast, and edge and line spread functions were calculated as measures of imaging resolution. Phantoms were constructed from silicone, agar, and tofu materials. Reconstructed property estimates were compared with independent mechanical testing using dynamic mechanical analysis (DMA). The NLI-MRE technique detected inclusions as small as 8 mm with a stiffness contrast as low as 14%. Storage modulus images also showed an interface edge response distance of 11 mm. Damping ratio images distinguished inclusions with a diameter as small as 8 mm, and yielded an interface edge response distance of 10 mm. Property differences relative to DMA tests were in the 15%-20% range in most cases. In this study, NLI-MRE storage modulus estimates resolved the smallest inclusion with the lowest stiffness contrast, and spatial resolution of attenuation parameter images was quantified for the first time. These experiments and image quality metrics establish quantitative guidelines for the accuracy expected in vivo for MRE images of small brain structures, and provide a baseline for evaluating future improvements to the NLI-MRE pipeline.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.