Design of open high magnetic field MRI superconducting magnet with continuous current and genetic algorithm method

  • Qiuliang Wang
  • , Guoxin Xu
  • , Yinming Dai
  • , Baozhi Zhao
  • , Luguang Yan
  • , Keeman Kim

Research output: Contribution to journalArticlepeer-review

85 Scopus citations

Abstract

An optimization design method of short-length actively shielded and open structure superconducting MRI magnets is suggested in the paper. Firstly, the section of the solenoid coil is simplified as a current loop with zero section to solve a linear programming problem. The position coordinates in the radius and axial, and current for the loop can be calculated by the linear programming method. Then, the cross-section of the coil is optimized with a genetic algorithm to get appropriate section size. The method of linear programming, especially combining with genetic algorithm, reduces optimizing variables, which makes the design of a magnet feasible. Based on the method, a full open MRI superconducting magnet is designed with maximum radii of 0.8 m and 1.2 m. In the paper, the detailed optimization technologies are presented.

Original languageEnglish
Article number5109542
Pages (from-to)2289-2292
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Volume19
Issue number3
DOIs
StatePublished - Jun 2009

Keywords

  • Magnetic resonance imaging (MRI)
  • Nonlinear optimization methods
  • Open structure MRI magnet design

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