• DocumentCode
    1103324
  • Title

    Compressed Sensing MRI

  • Author

    Lustig, Michael ; Donoho, David L. ; Santos, Juan M. ; Pauly, John M.

  • Author_Institution
    Stanford Univ., Stanford
  • Volume
    25
  • Issue
    2
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    72
  • Lastpage
    82
  • Abstract
    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 images, and by clinical concerns.
  • Keywords
    biomedical MRI; image reconstruction; medical image processing; reviews; MRI; compressed sensing; image reconstruction; interference cancellation; magnetic resonance imaging; review; Biomedical imaging; Compressed sensing; Encoding; Image coding; Image reconstruction; Magnetic resonance imaging; Magnetization; Protons; Radio frequency; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.914728
  • Filename
    4472246