Optimization in design of actively shielded whole-body open high-field superconducting MRI magnet

Feng Zhong-Kui; Hu Ge-Li; Xu Ying; Zhu Guang; Zhou Feng; Dai Yin-Ming; Wang Qiu-Liang

doi:10.7498/aps.62.230701

Abstract

We propose an optimization design method for actively shielded whole-body open high-field superconducting MRI magnet which accordingly has been simplified to contain only four pairs of superconducting coils. The new design method of open structure superconducting MRI magnet integrates the linear programming algorithm and the genetic algorithm optimization. Through several times of linear programming, and by taking into account the magnetic field, inhomogeneity in DSV, the scope of 5-Gauss fringe field, maximum hoop stress and maximum magnetic field, we can, with the least consumption of lines, get the coils’ initial position and shape, the number of layers of each coil and the number of turns of each layer. And the genetic algorithm was then employed to improve the magnetic field inhomogeneity in DSV to meet the requirements of high-quality imaging. This integrated optimization design method is flexible and effective for designing both open MRI magnet and traditional cylindrical MRI magnet. This paper also illustrates the method for a 1.2 T open MRI magnet optimization design.

Keywords:

Authors and contacts

1.
University of Chinese Academy of Sciences, Beijing 100049, China;
2.
Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Funds: Project supported by the National Major Scientific Equipment R&D of China (Grant No. ZDYZ2010-2).

References

[1]	Liu W T, Zu D L, Tang X 2010 Chin. Phys. B 19 018701
[2]	Zu D L, Guo H, Song X Y, Bao S L 2002 Chin. Phys. 11 1008
[3]	Yuri Lvovsky, Peter Jarvis 2005 IEEE Transactions on Applied Superconductivity 15 1317
[4]	Cosmus T C, Parizh M 2011 IEEE Transactions on Applied Superconductivity 21 2104
[5]	Xu H, Conolly S M, Scott G C 2000 IEEE Transactions on Magnetics 36 476
[6]	Shaw N R, Ansorg R E 2002 IEEE Transactions on Applied Superconductivity 12 733
[7]	Crozier S, Zhao H, Doddrell M 2002 Concepts in Magnetic Resonance 15B 208
[8]	Cheng, Y C N,Eagan T P,Brown R W 2003 Magnetic Resonance Materials in Physics, Biology and Medicine 16 57
[9]	Vegh V, Tieng Q M,Brereton I M 2009 Concepts in Magnetic Resonance 35B 180
[10]	Tieng Q M, Vegh V, Brereton I M 2009 Journal of Magnetic Resonance 196 1
[11]	Crozier S, Doddrell D M 1997 Journal of Magnetic Resonance 127 233
[12]	Zhao H, Crozier S, Doddrell D M 2001 Magnetic Resonance in Medicine 45 331
[13]	Wang C, Wang Q, Zhang Q 2010 IEEE Transactions on Applied Superconductivity 20 706
[14]	Wang Q, Xu G, Dai Y 2009 IEEE Transactions on Applied Superconductivity 19 2289
[15]	Kalafala A K 1990 IEEE Transactions on Magnetics 26 1181
[16]	Ni Z P, Hu G, Li L K 2013 IEEE Transactions on Applied Superconductivity 23 4401104
[17]	Berriaud C, Bermond S, Dechambre T 2012 IEEE Transactions on Applied Superconductivity 22 6001104
[18]	Ni Z Z, Wang Q L, Yan L G 2013 Acta Phys. Sin. 62 020701 [倪志鹏, 王秋良, 严陆光 2013 62 020701]
[19]	Tony Tadic, B Gino Fallone 2012 IEEE Transactions on Applied Superconductivity 22 4400107
[20]	Zhang G Q, Du X J, Zhao L, Ning P F, Yao W C, Zhu Z A 2012 Acta Phys. Sin. 61 228701 [张国庆, 杜晓纪, 赵玲, 宁飞鹏, 姚卫超, 朱自安 2012 61 228701]
[21]	Zhang H J, Zong J, Li Q F 2006 Chinese Journal of Low Temperature Physics 28 258 [张宏杰, 宗军, 励庆孚 2006 低温 28 258]
[22]	Zhang Q S 2012 Master Dissertation (Guangdong: South China University of Technology) (in Chinese) [张庆山 2012 硕士学位论文 (广东: 华南理工大学)]

Cited By

[1]	Liu W T, Zu D L, Tang X 2010 Chin. Phys. B 19 018701
[2]	Zu D L, Guo H, Song X Y, Bao S L 2002 Chin. Phys. 11 1008
[3]	Yuri Lvovsky, Peter Jarvis 2005 IEEE Transactions on Applied Superconductivity 15 1317
[4]	Cosmus T C, Parizh M 2011 IEEE Transactions on Applied Superconductivity 21 2104
[5]	Xu H, Conolly S M, Scott G C 2000 IEEE Transactions on Magnetics 36 476
[6]	Shaw N R, Ansorg R E 2002 IEEE Transactions on Applied Superconductivity 12 733
[7]	Crozier S, Zhao H, Doddrell M 2002 Concepts in Magnetic Resonance 15B 208
[8]	Cheng, Y C N,Eagan T P,Brown R W 2003 Magnetic Resonance Materials in Physics, Biology and Medicine 16 57
[9]	Vegh V, Tieng Q M,Brereton I M 2009 Concepts in Magnetic Resonance 35B 180
[10]	Tieng Q M, Vegh V, Brereton I M 2009 Journal of Magnetic Resonance 196 1
[11]	Crozier S, Doddrell D M 1997 Journal of Magnetic Resonance 127 233
[12]	Zhao H, Crozier S, Doddrell D M 2001 Magnetic Resonance in Medicine 45 331
[13]	Wang C, Wang Q, Zhang Q 2010 IEEE Transactions on Applied Superconductivity 20 706
[14]	Wang Q, Xu G, Dai Y 2009 IEEE Transactions on Applied Superconductivity 19 2289
[15]	Kalafala A K 1990 IEEE Transactions on Magnetics 26 1181
[16]	Ni Z P, Hu G, Li L K 2013 IEEE Transactions on Applied Superconductivity 23 4401104
[17]	Berriaud C, Bermond S, Dechambre T 2012 IEEE Transactions on Applied Superconductivity 22 6001104
[18]	Ni Z Z, Wang Q L, Yan L G 2013 Acta Phys. Sin. 62 020701 [倪志鹏, 王秋良, 严陆光 2013 62 020701]
[19]	Tony Tadic, B Gino Fallone 2012 IEEE Transactions on Applied Superconductivity 22 4400107
[20]	Zhang G Q, Du X J, Zhao L, Ning P F, Yao W C, Zhu Z A 2012 Acta Phys. Sin. 61 228701 [张国庆, 杜晓纪, 赵玲, 宁飞鹏, 姚卫超, 朱自安 2012 61 228701]
[21]	Zhang H J, Zong J, Li Q F 2006 Chinese Journal of Low Temperature Physics 28 258 [张宏杰, 宗军, 励庆孚 2006 低温 28 258]
[22]	Zhang Q S 2012 Master Dissertation (Guangdong: South China University of Technology) (in Chinese) [张庆山 2012 硕士学位论文 (广东: 华南理工大学)]

[1]	Wang Chao, Li Xiu-Feng, Zhang Sheng-Jun, Wang Ru-Zhi. Design of broadband gradient resistive film metamaterial absorber based on genetic algorithm. Acta Physica Sinica, 2024, 73(7): 074101. doi: 10.7498/aps.73.20231781
[2]	Luan Jia-Qi, Zhang Ya-Jie, Chen Yu, Gao Ding-Shan, Li Pei-Li, Li Jia-Qi, Li Jia-Qi. Genetic algorithm based terahertz multifunctional reconfigurable Dirac semi-metallic coded metasurface. Acta Physica Sinica, 2024, 73(14): 144204. doi: 10.7498/aps.73.20240225
[3]	Li Tie-Jun, Sun Yue, Zheng Ji-Wen, Shao Gui-Fang, Liu Tun-Dong. Stable structure optimization of Au-Cu-Pt trimetallic nanoparticles based on genetic algorithm. Acta Physica Sinica, 2015, 64(15): 153601. doi: 10.7498/aps.64.153601
[4]	Chang Hong-Wei, Ma Hua, Zhang Jie-Qiu, Zhang Zhi-Yuan, Xu Zhuo, Wang Jia-Fu, Qu Shao-Bo. Optimization of metamaterial based weighted real-coded genetic algorithm. Acta Physica Sinica, 2014, 63(8): 087804. doi: 10.7498/aps.63.087804
[5]	Ni Zhi-Peng, Wang Qiu-Liang, Yan Lu-Guang. A hybrid optimization approach to design of compact self-shielded super conducting magnetic resonance imaging magnet system. Acta Physica Sinica, 2013, 62(2): 020701. doi: 10.7498/aps.62.020701
[6]	He Ran, Huang Si-Xun, Zhou Chen-Teng, Jiang Zhu-Hui. Genetic algorithm with regularization method to retrieve ocean atmosphere duct. Acta Physica Sinica, 2012, 61(4): 049201. doi: 10.7498/aps.61.049201
[7]	Hu Xiao-Qin, Xie Guo-Feng. Optimization of shell model potential parameters of BaTiO3 by genetic algorithm. Acta Physica Sinica, 2011, 60(1): 013401. doi: 10.7498/aps.60.013401
[8]	Zu Yun-Xiao, Zhou Jie. Cognitive radio resource allocation based on combined chaotic genetic algorithm. Acta Physica Sinica, 2011, 60(7): 079501. doi: 10.7498/aps.60.079501
[9]	Wang Jian-Bo, Lu Jun. Double screen frequency selective surface structure optimized by genetic algorithm. Acta Physica Sinica, 2011, 60(5): 057304. doi: 10.7498/aps.60.057304
[10]	Song Dan, Zhang Xiao-Lin. Study of the multi-system compatible receiver’s frequency selection problem based on fixed point theory and its genetic algorithm realization. Acta Physica Sinica, 2010, 59(9): 6697-6705. doi: 10.7498/aps.59.6697
[11]	Cheng Xing-Hua, Tang Long-Gu, Chen Zhi-Tao, Gong Min, Yu Tong-Jun, Zhang Guo-Yi, Shi Rui-Ying. A genetic algorithm research on Lorentz oscillator model in infrared spectra of GaMnN. Acta Physica Sinica, 2008, 57(9): 5875-5880. doi: 10.7498/aps.57.5875
[12]	Niu Pei-Feng, Zhang Jun, Guan Xin-Ping. Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system. Acta Physica Sinica, 2007, 56(7): 3759-3765. doi: 10.7498/aps.56.3759
[13]	Niu Pei_Feng, Zhang Jun, Guan Xin_Ping. Research on a proportional-integral-derivative neural network decoupling control based on genetic algorithm optimization for unified chaotic system. Acta Physica Sinica, 2007, 56(5): 2493-2497. doi: 10.7498/aps.56.2493
[14]	Lin Hai, Wu Chen-Xu. Evolution of strategies based on genetic algorithm in the iterated prisoner’s dilemma on complex networks. Acta Physica Sinica, 2007, 56(8): 4313-4318. doi: 10.7498/aps.56.4313
[15]	Gong Chun-Juan, Hu Xiong-Wei. Design of triangular lattice photonic crystals using genetic algorithms. Acta Physica Sinica, 2007, 56(2): 927-932. doi: 10.7498/aps.56.927
[16]	Zhong Hui-Lin, Wu Fu-Gen, Yao Li-Ning. Application of genetic algorithm in optimization of band gap of two-dimensional phononic crystals. Acta Physica Sinica, 2006, 55(1): 275-280. doi: 10.7498/aps.55.275
[17]	Bao Wen-Xing, Zhu Chang-Chun, Cui Wan-Zhao. Study of structure optimization of carbon nanotubes using hybrid genetic algorithm based on clonal selection principle. Acta Physica Sinica, 2005, 54(11): 5281-5287. doi: 10.7498/aps.54.5281
[18]	Wang Dong-Feng. Genetic algorithm optimization based proportional-integral-derivative controller for unified chaotic system. Acta Physica Sinica, 2005, 54(4): 1495-1499. doi: 10.7498/aps.54.1495
[19]	Wu Zhong-Qiang, Ao Dun, Liu Kun. Fuzzy control of a chaotic system based on genetic algorithm. Acta Physica Sinica, 2004, 53(1): 21-24. doi: 10.7498/aps.53.21
[20]	Dai Dong, Ma Xi-Kui, Li Fu-Cai, You Yong. . Acta Physica Sinica, 2002, 51(11): 2459-2462. doi: 10.7498/aps.51.2459

Catalog

Vol. 62, Issue 23 - 2013-12-05

Metrics

Abstract views: 7338
PDF Downloads: 764
Cited By: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

Search

Article

留言板