Robust Myelin Quantitative Imaging Using Edge Preserving Spatial Priors

Keywords

accounts accuracy achieve adding among approaches arrows artifacts best better binary boundary brain cause choose circles coherent collect collected college consistency constraint constraints convex curve delta denoted denotes depiction detecting determined diagonal dimension dimensional diseases distinguishing distribution distributions domain easily edge element especially expanded exponential extracellular fast features fitting flair fluid fraction function generates graham healthy height impacted impose improved inconsistent indicate intra introducing issues iteratively keeping lesion long maps matrix medical minimize modalities model modeling neighbor noise noisy nonlinear normalization note novel outperformed output overcome particularly patient patients peak peaks pool pools portion posed powerful preserved preserving prior problem problems proportional proposed pseudo quadratic quantitative quantity real reduce reduction regularization relaxing resolution sample scalar sclerosis secondly selected sharpness similarly simulate simulated simulation slower smoothly smoothness snapshots solution solves spatial spatially spiral square stabilizing strength structure technology thirdly true unknown variable variance various varying vector vectors visually volunteers water white whose