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Article Abstract
Purpose: Neurite orientation dispersion and density imaging (NODDI) is a clinically feasible approach to measure intra-neurite volume fraction (f). However, the sophisticated fitting procedure takes several hours. And the NODDI model relied on several questionable assumptions. Recent analytical work demonstrated that f could be simply calculated from the spherical mean signal (MEANS) averaged over all gradient directions with a more solid theoretical foundation. The current study aims to compare NODDI and MEANS for measuring f in human brain and investigate the potential of MEANS as a fast approach in clinics.
Methods: NODDI f and MEANS f were measured and compared on the same dataset. NODDI f was obtained using the NODDI MATLAB Toolbox. MEANS f is the product of the spherical mean signal and 2bD/π, where D is the intra-neurite intrinsic diffusivity.
Results: NODDI f and MEANS f maps are similar. The voxel-by-voxel correlation suggests that NODDI f and MEANS f are approximately equivalent to each other.
Conclusion: MEANS may have potential to serve a fast and simple approach to estimate f in clinics.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6331250 | PMC |
| http://dx.doi.org/10.1016/j.mri.2018.11.021 | DOI Listing |
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