arezza_mri_2021.pdf (7.19 MB)
Download fileRapid microscopic fractional anisotropy imaging via an optimized linear regression formulation
journal contribution
posted on 2022-03-23, 13:34 authored by Nico ArezzaNico Arezza, Desmond H. Y. Tse, Corey A. BaronMicroscopic 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.