2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Simulation and Optimization of a Permanent Magnet for Small-sized MRI by Genetic Algorithm

Authors
Yiyuan Cheng, Ling Xia, Wei He
Corresponding Author
Yiyuan Cheng
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.158How to use a DOI?
Keywords
simulation, optimization, permanent magnet, genetic algorithm
Abstract
The main magnet produces the main magnetic field in the imaging area as one of the important parts of the magnetic resonance imaging (MRI) system. In a permanent MRI magnet, the widespread end effect causes a non-uniform magnetic field distribution and affects the imaging quality. In this paper, an H-type permanent magnet for small-sized MRI applications was designed; in particular, we added an optimized shimming ring outside the pole piece to improve the magnetic field uniformity. Genetic algorithms are used to solve the complex and nonlinear calculation of the magnetic field. The simulation results show that the magnet optimized by the proposed method generates a homogeneous magnetic field that can be easily implemented in practice.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.158How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yiyuan Cheng
AU  - Ling Xia
AU  - Wei He
PY  - 2013/04
DA  - 2013/04
TI  - Simulation and Optimization of a Permanent Magnet for Small-sized MRI by Genetic Algorithm
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.158
DO  - https://doi.org/10.2991/icsem.2013.158
ID  - Cheng2013/04
ER  -