ArticleNMR in biomedicine2018
Characterizing intra-axonal water diffusion with direction-averaged triple diffusion encoding MRI.
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 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integrating multimodality magnetic resonance imaging to the Allen Mouse Brain Common Coordinate Framework.NMR in biomedicine · 2023Article
- Optimized rectification of fiber orientation density function with background threshold.Magnetic resonance imaging · 2023Article
- Impact of intra-axonal kurtosis on fiber orientation density functions estimated with fiber ball imaging.Magnetic resonance in medicine · 2022Article
- High fidelity fiber orientation density functions from fiber ball imaging.NMR in biomedicine · 2022Article
- Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations.Magnetic resonance in medicine · 2021Article
- The present and the future of microstructure MRI: From a paradigm shift to normal science.Journal of neuroscience methods · 2021Review
- Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes.Magnetic resonance in medicine · 2020Article
- Triple diffusion encoding MRI predicts intra-axonal and extra-axonal diffusion tensors in white matter.Magnetic resonance in medicine · 2020Article
- Reproducibility of axonal water fraction derived from the spherical mean diffusion weighted signal.Magnetic resonance imaging · 2019Article
- Article
- Measuring intra-axonal TMagnetic resonance in medicine · 2019Article
- Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction.Magnetic resonance imaging · 2019Article
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2 authors.
Funding
Abstract
For large diffusion weightings, the direction-averaged diffusion MRI (dMRI) signal from white matter is typically dominated by the contribution of water confined to axons. This fact can be exploited to characterize intra-axonal diffusion properties, which may be valuable for interpreting the biophysical meaning of diffusion changes associated with pathology. However, using just the classic Stejskal-Tanner pulse sequence, it has proven challenging to obtain reliable estimates for both the intrinsic intra-axonal diffusivity and the intra-axonal water fraction. Here we propose to apply a modification of the Stejskal-Tanner sequence designed for achieving such estimates. The key feature of the sequence is the addition of a set of extra diffusion encoding gradients that are orthogonal to the direction of the primary gradients, which corresponds to a specific type of triple diffusion encoding (TDE) MRI sequence. Given direction-averaged dMRI data for this TDE sequence, it is shown how the intra-axonal diffusivity and the intra-axonal water fraction can be determined by applying simple, analytic formulae. The method is illustrated with numerical simulations, which suggest that it should be accurate for b-values of about 4000 s/mm
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