ArticleMedical image analysis2022
Mapping heterogenous anisotropic tissue mechanical properties with transverse isotropic nonlinear inversion MR elastography.
Article in Medical image analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
- Quantification of muscle morphology and stiffness in spastic hemiplegic cerebral palsy versus typically developing controls using magnetic resonance elastography.Clinical biomechanics (Bristol, Avon) · 2026Article
- Advances in mechanical assessments of in vivo human lumbar spine tissues with noninvasive imaging techniques.npj biomedical innovations · 2026Review
- Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.Acta biomaterialia · 2025Review
- Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.Acta biomaterialia · 2025Article
- Elastographic magnetization prepared imaging with rapid encoding.Magnetic resonance in medicine · 2025Article
- Improving the Accuracy and Repeatability of Renal Stiffness Measurement With Magnetic Resonance Elastography: Influence of Vibration Frequency, Acquisition Orientation, and Postprocessing-A Phantom and Volunteer Study.NMR in biomedicine · 2025Article
- Mechanically anisotropic phantoms for magnetic resonance elastography.Magnetic resonance in medicine · 2025Article
- Magnetic Resonance Elastography of Upper Trapezius Muscle.NMR in biomedicine · 2025Article
- The Networking Brain: How Extracellular Matrix, Cellular Networks, and Vasculature Shape the In Vivo Mechanical Properties of the Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Post-mortem changes of anisotropic mechanical properties in the porcine brain assessed by MR elastography.Brain multiphysics · 2024Article
- Full-field noise-correlation elastography for in-plane mechanical anisotropy imaging.Biomedical optics express · 2024Article
- Computational Fluid Dynamics of Cerebrospinal Fluid.Advances in experimental medicine and biology · 2024Review
- Individual Muscle Force Estimation in the Human Forearm Using Multi-Muscle MR Elastography (MM-MRE).IEEE transactions on bio-medical engineering · 2023Article
- Mechanical stiffness and anisotropy measured by MRE during brain development in the minipig.NeuroImage · 2023Article
- Imaging the subcellular viscoelastic properties of mouse oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Transversely-isotropic brain in vivo MR elastography with anisotropic damping.Journal of the mechanical behavior of biomedical materials · 2023Article
- Article
- Anisotropic mechanical properties in the healthy human brain estimated with multi-excitation transversely isotropic MR elastography.Brain multiphysics · 2022Article
- Mechanical properties of white matter tracts in aging assessed via anisotropic MR elastography.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
The white matter tracts of brain tissue consist of highly-aligned, myelinated fibers; white matter is structurally anisotropic and is expected to exhibit anisotropic mechanical behavior. In vivo mechanical properties of tissue can be imaged using magnetic resonance elastography (MRE). MRE can detect and monitor natural and disease processes that affect tissue structure; however, most MRE inversion algorithms assume locally homogenous properties and/or isotropic behavior, which can cause artifacts in white matter regions. A heterogeneous, model-based transverse isotropic implementation of a subzone-based nonlinear inversion (TI-NLI) is demonstrated. TI-NLI reconstructs accurate maps of the shear modulus, damping ratio, shear anisotropy, and tensile anisotropy of in vivo brain tissue using standard MRE motion measurements and fiber directions estimated from diffusion tensor imaging (DTI). TI-NLI accuracy was investigated with using synthetic data in both controlled and realistic settings: excellent quantitative and spatial accuracy was observed and cross-talk between estimated parameters was minimal. Ten repeated, in vivo, MRE scans acquired from a healthy subject were co-registered to demonstrate repeatability of the technique. Good resolution of anatomical structures and bilateral symmetry were evident in MRE images of all mechanical property types. Repeatability was similar to isotropic MRE methods and well within the limits required for clinical success. TI-NLI MRE is a promising new technique for clinical research into anisotropic tissues such as the brain and muscle.
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Registered trials
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