ArticleNMR in biomedicine2018
Relative identifiability of anisotropic properties from magnetic resonance elastography.
Article in NMR in biomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.Biomechanics and modeling in mechanobiology · 2026Article
- Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.Acta biomaterialia · 2025Article
- Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography.Medical image analysis · 2022Article
- Quantifying stability of parameter estimates forBiomedical physics & engineering express · 2022Article
- Advances and Future Direction of Magnetic Resonance Elastography.Topics in magnetic resonance imaging : TMRI · 2018Review
- Estimation of transversely isotropic material properties from magnetic resonance elastography using the optimised virtual fields method.International journal for numerical methods in biomedical engineering · 2018Article
- Mechanical properties of white matter tracts in aging assessed via anisotropic MR elastography.Imaging neuroscience (Cambridge, Mass.)Article
- Personalized biomechanical insights in atrial fibrillation: opportunities & challenges.Expert review of cardiovascular therapyReview
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Although magnetic resonance elastography (MRE) has been used to estimate isotropic stiffness in the heart, myocardium is known to have anisotropic properties. This study investigated the determinability of global transversely isotropic material parameters using MRE and finite-element modeling (FEM). A FEM-based material parameter identification method, using a displacement-matching objective function, was evaluated in a gel phantom and simulations of a left ventricular (LV) geometry with a histology-derived fiber field. Material parameter estimation was performed in the presence of Gaussian noise. Parameter sweeps were analyzed and characteristics of the Hessian matrix at the optimal solution were used to evaluate the determinability of each constitutive parameter. Four out of five material stiffness parameters (Young's modulii E
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Registered trials
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.