Compressed Sensing in Magnetic Resonance Imaging Using Non-Randomly Under-Sampled Signal in Cartesian Coordinates.
Ryo KazamaKazuki SekineSatoshi ItoPublished in: IEICE Trans. Inf. Syst. (2019)
Keyphrases
- magnetic resonance imaging
- compressed sensing
- cartesian coordinates
- compressive sampling
- signal processing
- image reconstruction
- medical images
- compressive sensing
- magnetic resonance images
- medical imaging
- random projections
- three dimensional
- natural images
- sparse representation
- frequency domain
- image processing
- image analysis
- pairwise
- remote sensing
- computer vision
- x ray
- least squares
- d objects
- fourier domain
- high quality