A homogeneous superconducting magnet design using a hybrid optimization algorithm

Ni, Zhipeng, Wang, Qiuliang, Liu, Feng and Yan, Luguang (2013) A homogeneous superconducting magnet design using a hybrid optimization algorithm. Measurement Science and Technology, 24 12: . doi:10.1088/0957-0233/24/12/125402

Author Ni, Zhipeng
Wang, Qiuliang
Liu, Feng
Yan, Luguang
Title A homogeneous superconducting magnet design using a hybrid optimization algorithm
Journal name Measurement Science and Technology   Check publisher's open access policy
ISSN 0957-0233
Publication date 2013
Sub-type Article (original research)
DOI 10.1088/0957-0233/24/12/125402
Open Access Status
Volume 24
Issue 12
Total pages 6
Place of publication Temple Way, Bristol, United Kingdom
Publisher Institute of Physics Publishing Ltd.
Collection year 2014
Language eng
Subject 2604 Applied Mathematics
3105 Instrumentation
Abstract This paper employs a hybrid optimization algorithm with a combination of linear programming (LP) and nonlinear programming (NLP) to design the highly homogeneous superconducting magnets for magnetic resonance imaging (MRI). The whole work is divided into two stages. The first LP stage provides a global optimal current map with several non-zero current clusters, and the mathematical model for the LP was updated by taking into account the maximum axial and radial magnetic field strength limitations. In the second NLP stage, the non-zero current clusters were discretized into practical solenoids. The superconducting conductor consumption was set as the objective function both in the LP and NLP stages to minimize the construction cost. In addition, the peak-peak homogeneity over the volume of imaging (VOI), the scope of 5 Gauss fringe field, and maximum magnetic field strength within superconducting coils were set as constraints. The detailed design process for a dedicated 3.0 T animal MRI scanner was presented. The homogeneous magnet produces a magnetic field quality of 6.0 ppm peak-peak homogeneity over a 16 cm by 18 cm elliptical VOI, and the 5 Gauss fringe field was limited within a 1.5 m by 2.0 m elliptical region.
Keyword Actively shielded technique
Animal imaging
Hybrid optimization algorithm
Magnetic Resonance Imaging
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
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