Compressed sensing trends in magnetic resonance imaging

• Published in: Engineering science and technology, an international journal Vol. 20; no. 4; pp. 1342 - 1352
• Main Authors: Sandilya, Mrinmoy, Nirmala, S.R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2017; Elsevier
• Subjects: [formula omitted]-minimization; Adaptive transform; Biomedical imaging; Compressed sensing; l1-minimization; Magnetic resonance imaging; Parallel imaging; Sparse reconstruction; Magnetic resonance imaging; Sparse reconstruction; Adaptive transform; Parallel imaging; Compressed sensing; l1-minimization; Biomedical imaging

The theory of Compressive Sensing (CS) has experienced a tremendous growth through continuous works of researchers from different cross platform domains of study. The strict realm of Shannon-Nyquist sampling theorem is compromised and an image can be reconstructed from fewer measurements than it was...