Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method

doi:10.1088/1674-1056/27/5/050201

中国物理B ›› 2018, Vol. 27 ›› Issue (5): 50201-050201.doi: 10.1088/1674-1056/27/5/050201

• GENERAL • 下一篇

Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method

Hui Pan(潘辉), Feng Jia(贾峰), Zhen-Yu Liu(刘震宇), Maxim Zaitsev, Juergen Hennig, Jan G Korvink

1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Deptartment of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg 79106, Germany;
4 Institute of Microstructure Technology, Karlsruhe Institute of Technology(KIT), Karlsruhe 76344, Germany

收稿日期:2017-12-30 修回日期:2018-02-08 出版日期:2018-05-05 发布日期:2018-05-05
通讯作者: Feng Jia, Zhen-Yu Liu E-mail:feng.jia@uniklinik-freiburg.de;liuzy@ciomp.ac.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos.51675506 and 51275504) and the German Research Foundation (DFG)(Grant Nos.#ZA 422/5-1 and#ZA 422/6-1).

Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method

Hui Pan(潘辉)^1,2, Feng Jia(贾峰)³, Zhen-Yu Liu(刘震宇)¹, Maxim Zaitsev³, Juergen Hennig³, Jan G Korvink⁴

1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Deptartment of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg 79106, Germany;
4 Institute of Microstructure Technology, Karlsruhe Institute of Technology(KIT), Karlsruhe 76344, Germany

Received:2017-12-30 Revised:2018-02-08 Online:2018-05-05 Published:2018-05-05
Contact: Feng Jia, Zhen-Yu Liu E-mail:feng.jia@uniklinik-freiburg.de;liuzy@ciomp.ac.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos.51675506 and 51275504) and the German Research Foundation (DFG)(Grant Nos.#ZA 422/5-1 and#ZA 422/6-1).

摘要/Abstract

摘要： A topology optimization method based on the solid isotropic material with penalization interpolation scheme is utilized for designing gradient coils for use in magnetic resonance microscopy. Unlike the popular stream function method, the proposed method has design variables that are the distribution of conductive material. A voltage-driven transverse gradient coil is proposed to be used as micro-scale magnetic resonance imaging (MRI) gradient coils, thus avoiding introducing a coil-winding pattern and simplifying the coil configuration. The proposed method avoids post-processing errors that occur when the continuous current density is approximated by discrete wires in the stream function approach. The feasibility and accuracy of the method are verified through designing the z-gradient and y-gradient coils on a cylindrical surface. Numerical design results show that the proposed method can provide a new coil layout in a compact design space.

关键词: topology optimization method, gradient coils, solid isotropic material with penalization, magnetic resonance imaging

Abstract: A topology optimization method based on the solid isotropic material with penalization interpolation scheme is utilized for designing gradient coils for use in magnetic resonance microscopy. Unlike the popular stream function method, the proposed method has design variables that are the distribution of conductive material. A voltage-driven transverse gradient coil is proposed to be used as micro-scale magnetic resonance imaging (MRI) gradient coils, thus avoiding introducing a coil-winding pattern and simplifying the coil configuration. The proposed method avoids post-processing errors that occur when the continuous current density is approximated by discrete wires in the stream function approach. The feasibility and accuracy of the method are verified through designing the z-gradient and y-gradient coils on a cylindrical surface. Numerical design results show that the proposed method can provide a new coil layout in a compact design space.

Key words: topology optimization method, gradient coils, solid isotropic material with penalization, magnetic resonance imaging

中图分类号: (Numerical optimization)

02.60.Pn

87.61.-c (Magnetic resonance imaging) 83.85.Fg (NMR/magnetic resonance imaging) 02.60.Cb (Numerical simulation; solution of equations)

潘辉, 贾峰, 刘震宇, Maxim Zaitsev, Juergen Hennig, Jan G Korvink. Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method[J]. 中国物理B, 2018, 27(5): 50201-050201.

Hui Pan(潘辉), Feng Jia(贾峰), Zhen-Yu Liu(刘震宇), Maxim Zaitsev, Juergen Hennig, Jan G Korvink. Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method[J]. Chin. Phys. B, 2018, 27(5): 50201-050201.

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Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method

Design of small-scale gradient coils in magnetic resonance imaging by using the topology optimization method

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