Abstract
Recently a rapid imaging method was proposed [1] that exploits the fact that sparse or compressible signals, such as MR images, 3D randomly under-sampled Cartesian trajectory can be recovered from randomly under-sampled frequency data
Keywords
Compressed sensingUndersamplingSampling (signal processing)AliasingAlgorithmComputer scienceDiscrete cosine transformRandomnessMathematicsSparse approximationArtificial intelligenceComputer visionImage (mathematics)Filter (signal processing)Statistics
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Publication Info
- Year
- 2004
- Type
- article
- Citations
- 59
- Access
- Closed
External Links
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Cite This
Michael Lustig,
David L. Donoho,
John M. Pauly
(2004).
Rapid MR Imaging with "Compressed Sensing" and Randomly Under-Sampled 3DFT Trajectories.
.