Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution

Keywords

accelerated acquisition advanced allowing allows avoiding bias brain called character characterize chosen clinical clinically close coherent coil combined complex components computing contains coordinate correcting crossing cube dependent depicts derived diffusion dimensions directional distribution done eddy enables enabling encoding essentially estimation evaluated example except extraction fairly fiber field fitted fitting five flattened flow fractional free fully global guided hand head healthy hence highest independently inhomogeneities interval intrinsic introduced inverse investigated john king kurtosis latter least like linear linearly magnitude maps meaningless metrics moreover motion neglected nicely noise output parallel part particular path pixel polynomial principle procedures processing profiles proof proposed quantified real reasonable reconstruction related remaining remove removed resolving rows scanner schemes sense sensing sensitive separated separating slice slowly sons space spatial spectrum squares step steps strength subsequent subtraction successfully technical tensor tensors theoretically tracking tracts transform unbiased unwrapping valuable variations various varying velocity ventricles volunteer whereas wrapping wraps yield yielded yielding