• DocumentCode
    1682172
  • Title

    Fourier compression-reconstruction technique [MRI application]

  • Author

    Binge, Gayle M. ; Micheli-Tzanakou, Evangelia

  • Author_Institution
    Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    1989
  • Firstpage
    524
  • Abstract
    A method of data compression and reconstruction, the Fourier compression-reconstruction technique, which uses a standard Fourier algorithm as a basis for decreasing the amount of data stored, is briefly described. Compression is achieved by passing data through Fourier analysis algorithms to develop the complex Fourier coefficient matrix. The data are then analyzed for maximum frequency components, which are stored along with actual row and column coordinates. When the image is to be reconstructed, the coefficient maxima are passed through an inverse Fourier algorithm. Standard algebraic iterative techniques are used to provide qualitatively better images. The technique decreases data storage by up to 99% while providing visually accurate reconstructed images and favorable error comparisons with the original image
  • Keywords
    Fourier analysis; biomedical NMR; data compression; patient diagnosis; picture processing; Fourier algorithm; Fourier compression-reconstruction technique; algebraic iterative techniques; complex Fourier coefficient matrix; coordinates; data compression; image reconstruction; maximum frequency components; Algorithm design and analysis; Biomedical engineering; Data analysis; Frequency; Image reconstruction; Iterative algorithms; Magnetic resonance imaging; Memory; Neoplasms; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.95855
  • Filename
    95855