ArticleJournal of the mechanical behavior of biomedical materials2023
Transversely-isotropic brain in vivo MR elastography with anisotropic damping.
Article in Journal of the mechanical behavior of biomedical materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.Acta biomaterialia · 2025Review
- Mechanically anisotropic phantoms for magnetic resonance elastography.Magnetic resonance in medicine · 2025Article
- 1-Norm waveform analysis for MR elastography-based quantification of inhomogeneity: Effects of the freeze-thaw cycle and Alzheimer's disease.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
- Imaging the subcellular viscoelastic properties of mouse oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Mechanical properties of white matter tracts in aging assessed via anisotropic MR elastography.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Measuring tissue parameters from increasingly sophisticated mechanical property models may uncover new contrast mechanisms with clinical utility. Building on previous work on in vivo brain MR elastography (MRE) with a transversely-isotropic with isotropic damping (TI-ID) model, we explore a new transversely-isotropic with anisotropic damping (TI-AD) model that involves six independent parameters describing direction-dependent behavior for both stiffness and damping. The direction of mechanical anisotropy is determined by diffusion tensor imaging and we fit three complex-valued moduli distributions across the full brain volume to minimize differences between measured and modeled displacements. We demonstrate spatially accurate property reconstruction in an idealized shell phantom simulation, as well as an ensemble of 20 realistic, randomly-generated simulated brains. We characterize the simulated precisions of all six parameters across major white matter tracts to be high, suggesting that they can be measured independently with acceptable accuracy from MRE data. Finally, we present in vivo anisotropic damping MRE reconstruction data. We perform t-tests on eight repeated MRE brain exams on a single-subject, and find that the three damping parameters are statistically distinct for most tracts, lobes and the whole brain. We also show that population variations in a 17-subject cohort exceed single-subject measurement repeatability for most tracts, lobes and whole brain, for all six parameters. These results suggest that the TI-AD model offers new information that may support differential diagnosis of brain diseases.
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Registered trials
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