Optimizing Random Fourier Sampling Patterns for Compressed Sensing Using Point Spread Functions

Keywords

absolute accurate acquisition acquisitions adoption anatomical anatomy appears available barrier best blue breast channel chosen clearly clinical coefficient coil complex compressed compressively connection consistently convolution correlation correlations created despite dimension dimensionality domain energy error example except explored extend features finally forward frequencies frequency full fully function functions furthermore future graph ground highest highly idea improve improvement independent institute kurtosis lack larger largest libraries little lowest mammography many mask masks materials measure middle minimized missing modulation motivated nature noise nonlinear normalized optimizing pattern patterns peak performance possibly power predictability predictably predictor predictors produced produces prospective prototypical quality quantity random reconstructed reconstruction reconstructions related reliable replaced represent respectively response sampled sampling scanner science sensing serves sets shape simply slight smith spatial spatially spread square superior system theorem third training transfer transforming trend truth types ultimate unfortunately unknown variable variance variant various weaker width zeros