ArticleMagnetic resonance in medicine2020
Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects.NeuroImage · 2025Article
- Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.NeuroImage · 2022Review
- Article
- Review
- SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI.NeuroImage · 2021Article
- Computing the orientational-average of diffusion-weighted MRI signals: a comparison of different techniques.Scientific reports · 2021Article
- The present and the future of microstructure MRI: From a paradigm shift to normal science.Journal of neuroscience methods · 2021Review
- In vivo tensor-valued diffusion MRI of focal demyelination in white and deep grey matter of rodents.NeuroImage. Clinical · 2021Article
- The sensitivity of diffusion MRI to microstructural properties and experimental factors.Journal of neuroscience methods · 2021Review
- Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes.Magnetic resonance in medicine · 2020Article
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3 authors.
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Abstract
purposeIt has been shown, theoretically and in vivo, that using the Stejskal-Tanner pulsed-gradient, or linear tensor encoding (LTE), and in tissue exhibiting a "stick-like" diffusion geometry, the direction-averaged diffusion-weighted MRI signal at high b-values (
methodsWe considered the signal decay for high b-values for encoding geometries ranging from 2-dimensional PTE, through isotropic or spherical tensor encoding to LTE. When a power-law behavior was suggested, this was tested using in silico simulations and, when appropriate, in vivo using ultra-strong (300 mT/m) gradients.
resultsOur in vivo results confirmed the predicted 1/b power law for PTE. Moreover, our analysis showed that using an axisymmetric b-tensor a power-law only exists under very specific conditions: (a) "stick-like" tissue geometry and purely LTE or purely PTE waveforms; and (b) "pancake-like" tissue geometry and a purely LTE waveform.
conclusionsA complete analysis of the power-law dependencies of the diffusion-weighted signal at high b-values has been performed. Only three specific forms of encoding result in a power-law dependency, pure linear and pure PTE when the tissue geometry is "stick-like" and pure LTE when the tissue geometry is "pancake-like". The different exponents of these encodings could be used to provide independent validation of the presence of different tissue geometries in vivo.
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