Compressed Sensing in Magnetic Resonance Imaging Using Non-Randomly Under-Sampled Signal in Cartesian Coordinates Ryo KAZAMAKazuki SEKINESatoshi ITO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2019/09/01 Vol. E102-DNo. 9pp. 1851-1859 Type of Manuscript: PAPER Category: Biological Engineering Keyword: compressed sensing, curvelet transform, L1-norm, sparseness,