Rapid microscopic fractional anisotropy imaging via an optimized linear regression formulation.
Magnetic resonance imaging
URL with Digital Object Identifier
Water diffusion anisotropy in the human brain is affected by disease, trauma, and development. Microscopic fractional anisotropy (μFA) is a diffusion MRI (dMRI) metric that can quantify water diffusion anisotropy independent of neuron fiber orientation dispersion. However, there are several different techniques to estimate μFA and few have demonstrated full brain imaging capabilities within clinically viable scan times and resolutions. Here, we present an optimized spherical tensor encoding (STE) technique to acquire μFA directly from the 2nd order cumulant expansion of the powder averaged dMRI signal obtained from direct linear regression (i.e. diffusion kurtosis) which requires fewer powder-averaged signals than other STE fitting techniques and can be rapidly computed. We found that the optimal dMRI parameters for white matter μFA imaging were a maximum b-value of 2000 s/mm
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Bioimaging and Biomedical Optics Commons, Medical Biophysics Commons, Neuroscience and Neurobiology Commons