Diffusion Signal Decomposition Using Periodical Sampling in Gradient Direction Domain and Fourier Approximation

Keywords

accuracy achieved acquiring acquisition addition advanced affecting agree alignment although angular anterior appearing applied approximation approximations arrow assumption azimuth brain bundles coil compartment compartments constrained contribute contribution convex coordinate coordinates correlates cost count counted counts criterion cutoff decompose decomposed decomposing decomposition defined density describe deviation diffusion distribution domain dorsal either electrical entails equal evenly example existing expression facilitating finding fitting fixed free frequencies frequency future generated gradient harmonic highly improve improved improves in vivo incorrect indicated isotropic knowledge known kurtosis limits located male manually mapping measure measures minimize minor models motion mouse nerve noise omit optimal optimization optimum orientation orthogonal overestimation package periodic periodical periodically periodicity preliminary prior probabilistic problem profile proposed qualitative quantitative random reconstruct reconstruction reflects regardless removes removing requirement resolution restricted samples sampling scheme school selected series software spectrum sphere spherical spiral step steps streamlines subject suggests technology tissue track tracks tract tracts transform unit validation water week white zenith