ArticleScientific reports2017
Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Spatial Image Gradient Estimation From the Diffusion MRI Profile.Magnetic resonance in medicine · 2026Article
- Spatial image gradient estimation from the diffusion MRI profile.bioRxiv : the preprint server for biology · 2025Article
- Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the diffusion-weighted MRI signal.Scientific reports · 2024Article
- Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.Magnetic resonance in medicine · 2021Review
- The present and the future of microstructure MRI: From a paradigm shift to normal science.Journal of neuroscience methods · 2021Review
- Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis.Journal of magnetic resonance imaging : JMRI · 2020Review
- Position and Direction Tracking of a Magnetic Object Based on an MScientific reports · 2020Article
- Influence of the size and curvedness of neural projections on the orientationally averaged diffusion MR signal.Frontiers in physics · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear magnetic resonance is a powerful tool for probing the structures of chemical and biological systems. Combined with field gradients it leads to NMR imaging (MRI), a widespread tool in non-invasive examinations. Sensitivity usually limits MRI's spatial resolution to tens of micrometers, but other sources of information like those delivered by constrained diffusion processes, enable one extract morphological information down to micron and sub-micron scales. We report here on a new method that also exploits diffusion - isotropic or anisotropic- to sense morphological parameters in the nm-mm range, based on distributions of susceptibility-induced magnetic field gradients. A theoretical framework is developed to define this source of information, leading to the proposition of internal gradient-distribution tensors. Gradient-based spin-echo sequences are designed to measure these new observables. These methods can be used to map orientations even when dealing with unconstrained diffusion, as is here demonstrated with studies of structured systems, including tissues.
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Registered trials
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