Generalized ABSINTHE with Sparsity-Enforcing Regularization

Keywords

absinthe accelerated accentuate adaptive added additionally aliasing allows analytical applicable applied approximated approximation artifacts attributed biomedical bottom brain brains central channel chosen close coil column combined computation compute computed consistency consistently database dept described deviation dictionary diffuse displayed distributed drives encoding enforces enforcing engineering entries equation error expected fact fast features fewer framework free fully fuzzy generalized ground head hospitals identify implementation improve improvements in vivo inset intensity introduced iteration iterations iteratively known made maps mark mask matching medical minimize minimizes multiplied noise noisy norm normalized numerical oasis object open operator parallel part pixel pixels previous prior priori profiles proposed providing radiology reconstruct reconstructed reconstruction reconstructions reduced reduction regularization remove reserve retrospective sampled scaled selected sense sensitivities sensitivity series serve serves significantly simulate simulated simulation slice slices smaller solution solutions space sparse sparsity spin square step studies summed superscript target term theory threshold training transform transpose truth unfold unrecognized volumes yield yields zero