Title :
A comparison of two design methods for MRI magnets
Author :
Cheng, Yu-Chung N. ; Brown, Robert W. ; Thompson, Michael R. ; Eagan, Timothy P. ; Shvartsman, Shmaryu M.
Author_Institution :
Dept. of Radiol., Wayne State Univ., Detroit, MI, USA
Abstract :
Designs of magnetic resonance imaging (MRI) main magnets obtained from both a functional method and a genetic algorithm method have been compared. While most features in the two approaches are similar, there are several important differences. The functional method leads to fewer coil bundles and a reduced total current, i.e., total ampere turns, (e.g., 6-8 MA) that can be as much as 70% of the total current found with the genetic analysis. While the conclusion about stress is that it is a sensitive function of the choice of wire current density, the designs found with the functional method have a larger hoop stress than that of the genetic design, which may require new or refined manufacturing techniques. Furthermore, the functional approach requires much less computing power (i.e., a personal computer is quite sufficient) while the genetic algorithm method in general demands massively parallel computing techniques. However, in order to search for the optimal magnetic resonance design at a given field strength, it is likely that a combination of these two methods will lead to the best results.
Keywords :
genetic algorithms; magnetic resonance imaging; superconducting magnets; MRI magnets; functional method; genetic algorithm; genetic analysis; genetic design; magnetic resonance design; magnetic resonance imaging; parallel computing; wire current density; Algorithm design and analysis; Coils; Current density; Design methodology; Genetic algorithms; Magnetic resonance imaging; Magnets; Refining; Stress; Wire; Functional; MRI; genetic algorithm; magnet design; magnetic resonance imaging;
Journal_Title :
Applied Superconductivity, IEEE Transactions on
DOI :
10.1109/TASC.2004.831507