Optimal design method for MRI superconducting magnets with ferromagnetic shield

S. Noguchi, Atsushi Ishiyama

    Research output: Contribution to journalArticle

    15 Citations (Scopus)

    Abstract

    This paper describes an optimal design method for highly homogeneous superconducting magnet systems with ferromagnetic shield. The presented design technique is a combination of the equivalent magnetization current method for the computation of the magnetic field problem, which includes nonlinear and saturated iron, and the simulated annealing for solving the corresponding optimization problem. The equivalent magnetization current method is superior in estimating the field homogeneity of the center of the magnet systems. By using the simulated annealing, the positions of each solenoid coil are optimized as continuous design variables, while the number of turns and layers of the coil windings are treated as discrete design variables. The details of the algorithm and some examples of its application to 1.5-tesla magnet systems with three types of magnetic shielding are shown.

    Original languageEnglish
    Pages (from-to)1904-1907
    Number of pages4
    JournalIEEE Transactions on Magnetics
    Volume33
    Issue number2 PART 2
    Publication statusPublished - 1997

    Fingerprint

    Superconducting magnets
    superconducting magnets
    Magnetic resonance imaging
    Simulated annealing
    Magnets
    Magnetization
    simulated annealing
    Magnetic shielding
    magnets
    coils
    Solenoids
    magnetization
    magnetic shielding
    Iron
    solenoids
    Magnetic fields
    homogeneity
    estimating
    iron
    optimization

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Physics and Astronomy (miscellaneous)

    Cite this

    Optimal design method for MRI superconducting magnets with ferromagnetic shield. / Noguchi, S.; Ishiyama, Atsushi.

    In: IEEE Transactions on Magnetics, Vol. 33, No. 2 PART 2, 1997, p. 1904-1907.

    Research output: Contribution to journalArticle

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