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
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
