• DocumentCode
    3367223
  • Title

    MRI of material with short relaxation times using Cartesian radial scanning

  • Author

    Demilly, D. Graveron ; Marseille, G.J. ; Crémillieux, Y. ; Cavassila, S. ; van Ormondt, D.

  • Author_Institution
    Lab. RMN, CNRS, Villeurbanne, France
  • Volume
    5
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    2127
  • Abstract
    The authors present a new 3D MRI scan method that combines favourable properties of Cartesian and radial sampling. Cartesian sampling requires only Fourier transformation (FT) to obtain an image. Radial sampling enables imaging of objects with very short transverse relaxation times. The authors constrain radial sampling such that coincidence with a Cartesian grid be maximal. Missing Cartesian samples are estimated with a Bayesian procedure based on FT and general prior knowledge. A substantial reduction of scan time is achieved with respect to conventional radial scanning. Application to a `phantom´ is shown
  • Keywords
    Bayes methods; Fourier transforms; biomedical NMR; image reconstruction; magnetic relaxation; medical image processing; 3D MRI scan method; Bayesian procedure; Cartesian radial scanning; Fourier transformation; magnetic resonance imaging; medical diagnostic imaging; missing Cartesian samples; phantom; prior knowledge; radial sampling; scan time reduction; short relaxation times material; transverse relaxation time; Bayesian methods; Biological materials; Biomedical materials; Engineering in Medicine and Biology Society; Image reconstruction; Image sampling; Imaging phantoms; Iterative algorithms; Magnetic resonance imaging; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-3811-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.646464
  • Filename
    646464