Compressed Sensing MRI

@article{Lustig2008CompressedSM,
  title={Compressed Sensing MRI},
  author={M. Lustig and D. L. Donoho and J. Santos and J. M. Pauly},
  journal={IEEE Signal Processing Magazine},
  year={2008},
  volume={25},
  pages={72-82}
}
  • M. Lustig, D.L. Donoho, +1 author J.M. Pauly
  • Published 2008
  • Computer Science
  • IEEE Signal Processing Magazine
  • This article reviews the requirements for successful compressed sensing (CS), describes their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The authors emphasize on an intuitive understanding of CS by describing the CS reconstruction as a process of interference cancellation. There is also an emphasis on the understanding of the driving factors in applications, including limitations imposed by MRI hardware, by the characteristics of different types of… CONTINUE READING
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    References

    SHOWING 1-10 OF 63 REFERENCES
    Sparse MRI: The application of compressed sensing for rapid MR imaging
    • 5,044
    • PDF
    A review of compression methods for medical images in PACS
    • M. Strintzis
    • Computer Science, Medicine
    • Int. J. Medical Informatics
    • 1998
    • 43
    • PDF
    SENSE: Sensitivity encoding for fast MRI
    • 4,493
    • PDF
    Continuous Update with Random Encoding (CURE): A New Strategy for Dynamic Imaging
    • T. Parrish, X. Hu
    • Computer Science, Medicine
    • Magnetic resonance in medicine
    • 1995
    • 90
    A comparison of RIGR and SVD dynamic imaging methods
    • 16
    Highly constrained backprojection for time‐resolved MRI
    • 283
    • PDF
    Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations
    • 42
    Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays
    • 1,555