A Robust Spherical Deconvolution Method for the Analysis of Low SNR or Low Angular Resolution Diffusion Data

Keywords

according achieved actual allow already although amplitude amplitudes analyses angular anisotropic applies approximate approximately assessed bias bottom brain briefly channel clinical coarse coefficients coil commonplace computer constrained constraint control converts convolution coronal corrected correction crossing currently dataset datasets deconvolution definition dell development deviation diagonal diffusion directional distance distances distribution element enforce ensure equation evaluates evident expectation expense expressed extend extended feasible filtered form formed framework general give greatly head health historical improve improved improvements include included incorporate initial intensities introducing isotropic iteration iterations latter least limited linear loss matrix measured medicine model negative negativity next noise nonetheless note onto opposite ordinary orientation orientations original overall overcome particularly periphery perpendicular poor predicted problem problems processed processing projected projection proposed readily reasonable reduced refers relatively resolution robust robustly routinely sampled sampling significantly slices smooth smoothing smoothness solved spatial spherical squares starting suggests term terms tracking trans trio types uniformly updated vector whole workstation