Design of Open High Magnetic Field MRI Superconducting Magnet With Continuous Current and Genetic Algorithm Method

Author

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

Author_Institution

Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing, China

Volume

19

Issue

3

fYear

2009

fDate

6/1/2009 12:00:00 AM

Firstpage

2289

Lastpage

2292

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.

Keywords

biomedical MRI; genetic algorithms; linear programming; magnetic resonance imaging; superconducting magnets; genetic algorithm; high magnetic field magnetic resonance imaging; linear programming method; open structure superconducting MRI magnet; optimization design method; size 0.8 m; size 1.2 m; solenoid coil; Magnetic resonance imaging (MRI); nonlinear optimization methods; open structure MRI magnet design;

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/TASC.2009.2017894

Filename

5109542