• DocumentCode
    785509
  • Title

    Improvement of MRI magnet design through sensitivity analysis

  • Author

    Cavaliere, Vincenzo ; Cioffi, Marco ; Formisano, Alessandro ; Martone, Raffaele

  • Author_Institution
    ANSALDO-C.R.I.S., Naples, Italy
  • Volume
    12
  • Issue
    1
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    1413
  • Lastpage
    1416
  • Abstract
    Superconducting magnets for MRI are designed to provide high level of magnetic flux density in a wide testing volume with the greatest level of field homogeneity. The design of such magnets is usually performed using optimization techniques able to tune the geometrical parameters of the magnets, taking also into account constructional issues and dimensions and packaging factors of the wires for each coil and, in addition, technical and physical constraints, such as the critical current of the superconductor to prevent the quench phenomenon. Unfortunately due to manufacturing tolerances, the actual geometrical parameters of the magnet differ from the design ones, affecting the field homogeneity. In this paper the effects of the manufacturing tolerances on the field homogeneity are investigated for an MRI magnet by means of a statistical Monte Carlo analysis.
  • Keywords
    Monte Carlo methods; covariance analysis; magnetic resonance imaging; optimisation; sensitivity analysis; superconducting coils; superconducting magnets; MRI magnet design; covariance coefficients; field homogeneity; high magnetic flux density; manufacturing tolerances; optimization; sensitivity analysis; spherical harmonics expansion; statistical Monte Carlo analysis; superconducting coils; superconducting magnets; wide testing volume; Constraint optimization; Design optimization; Magnetic flux; Magnetic flux density; Magnetic resonance imaging; Packaging; Sensitivity analysis; Superconducting coils; Superconducting magnets; Testing;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2002.1018667
  • Filename
    1018667