Higher Order Variational Denoising for Diffusion Tensor Imaging

Keywords

absolutely acceleration acquisition acquisitions addition additional afterwards applications approaches audience available averaging become bottom calculations challenging channel choice chosen clinical coil column comparable computing considered contains convex correction defined denote described desirable diffusion directly displayed displays dual eddy edges employ encoding engineering enhancement ensured equation error even fast features fidelity field fine form function functional gain generalized gold gradient gradients ground head healthy implementation index individual individually institute introduce investigated isotropic knoll leads like long loss maps math mathematics matrix measuring medical middle minimization minimize model movements namely neck noisy norm noted notoriously numerical occurred often operates optimal partial physics pock practice preserving preset primal prior problems prohibitively property reconstruction reduce reduced reduction regularization represents researchers resolution restoring saddle seeking sequentially sets sharp shot slice slices slight slightly smith smooth solution solve space structural system tanner target technology tensor tensors theoretical third truth unfortunately unlike users variation variational volunteer white write