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Published on: August 11, 2016
Repeatable tract-based diffusion metrics on a portable 64 mT MRI: a foundation for global population neuroscience
William Royer1,2, James Gholam1,2, Mara Cercignani1,2
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Frontiers in Neuroimaging
|August 14, 2026
Summary
Portable low-field MRI offers repeatable diffusion tensor imaging (DT-MRI) metrics, expanding neuroscience research accessibility. This study confirms the reliability of DT-MRI measurements from a 64 mT scanner for population studies.
Area of Science:
- Neuroscience
- Medical Imaging
- Biophysics
Background:
- Diffusion MRI is crucial for population neuroscience but limited by high-field scanner costs and accessibility.
- Portable, low-field MRI systems present a potential solution to broaden access to diffusion imaging.
- Systematic evaluation of measurement repeatability is essential before adopting low-field MRI for research.
Purpose of the Study:
- To systematically evaluate the test-retest repeatability of diffusion tensor MRI (DT-MRI) metrics using a portable 64 mT MRI scanner.
- To assess the feasibility of using portable low-field MRI for population-scale neuroscience studies.
Main Methods:
- Ten healthy participants underwent two scanning sessions on a portable 64 mT MRI scanner with an 18-direction diffusion protocol.
- Diffusion tensors were estimated, and constrained spherical deconvolution enabled bundle-specific tractography.
- Tract-averaged metrics including fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) were analyzed using Bland-Altman and coefficient of variation methods.
Main Results:
- Strong scan-rescan agreement was observed for tract-averaged DT-MRI metrics, indicating good repeatability.
- Coefficients of variation were higher compared to high-field MRI, but statistical power calculations showed feasible sample sizes for group difference detection.
- Portable 64 mT MRI demonstrated potential for population studies, despite absolute metric differences from high-field scanners.
Conclusions:
- Portable 64 mT MRI systems can provide repeatable DT-MRI metrics, suitable for population neuroscience research.
- This technology can help democratize advanced neuroimaging and include under-represented populations in brain research.
- Further advancements in acquisition and processing are expected to improve metric accuracy and reduce the gap with high-field MRI.
