• DocumentCode
    1397933
  • Title

    Application of the genetic algorithms to the synthesis of the uniform induction gradient in MRI magnets

  • Author

    Stella, Andrea ; Trevisan, Francesco

  • Author_Institution
    Dipt. di Ingegneria Elettrica Gestionale e Meccanica, Udine Univ., Italy
  • Volume
    36
  • Issue
    4
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    1736
  • Lastpage
    1740
  • Abstract
    The advantages and the robustness of genetic algorithms in the solution of a specific optimal design problem have been investigated. The algorithm implemented has been tested to solve the inverse problem of the synthesis of the magnetic configuration for magnetic resonance imaging; the required configuration consists of a uniform induction field gradient in the bi-dimensional domain located between a couple of symmetric solenoids. The sensitivity analysis of the obtained results has been also performed
  • Keywords
    genetic algorithms; inverse problems; magnetic resonance imaging; sensitivity analysis; solenoids; MRI magnets; bi-dimensional domain; genetic algorithms; inverse problem; optimal design problem; sensitivity analysis; symmetric solenoids; uniform induction gradient; Algorithm design and analysis; Couplings; Genetic algorithms; Inverse problems; Magnetic domains; Magnetic resonance imaging; Robustness; Sensitivity analysis; Solenoids; Testing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.877779
  • Filename
    877779