东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (2): 184-186+199.DOI: -

• 论著 • 上一篇    下一篇

磁共振成像超导接收线圈品质因数的仿真分析

吴春俐;肖景魁;张丽;王金星;   

  1. 东北大学信息科学与工程学院;沈阳大学理学院;沈阳理工大学机械工程学院;东北大学理学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-02-15 发布日期:2013-06-22
  • 通讯作者: Wu, C.-L.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50577003)

Simulation analysis of quality factor of superconducting receiving coil for MRI system

Wu, Chun-Li (1); Xiao, Jing-Kui (2); Zhang, Li (3); Wang, Jin-Xing (4)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) School of Sciences, Shenyang University, Shenyang 110016, China; (3) School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110168, China; (4) School of Sciences, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-02-15 Published:2013-06-22
  • Contact: Wu, C.-L.
  • About author:-
  • Supported by:
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摘要： 为了便于研究超导接收线圈的品质因数与谐振频率之间的关系,运用Ansoft HFSS高频电磁仿真软件,按照Bi2223/Ag超导接收线圈的实验装置建立了仿真模型,分析得到了谐振回路的频率特性曲线,仿真结果与实验结果基本一致.通过调整谐振回路谐振电容的大小改变其谐振频率,得到了超导接收线圈的品质因数与不同谐振频率之间的关系.结果表明,只有在较低频率下,使用超导材料制作的射频接收线圈才能有效提高其信噪比.

关键词: 磁共振成像, 超导接收线圈, 谐振频率, 品质因数, 仿真分析

Abstract: To investigate the relationship between the quality factor of a receiving coil made from specified superconducting material and resonant frequency in MRI system, a simulation model was developed using the HF software Ansoft HFSS and according to the size of the experimental setup of Bi2223/Ag superconducting receiving coil. Analyzing the frequency characteristics of resonance loop, it was found that the simulation results are basically in accord with the experimental results. The relationships between the quality factor of superconducting receiving coil and different resonant frequencies were obtained by adjusting the resonance capacitance of resonance loop to change its resonant frequency. The results indicated that only if the RF receiving coil is made from superconducting material and operating at low frequency, the signal noise ratio (SNR) in MRI system can be effectively improved.

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