Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method

Boyang Shen; Jun Yin; David Menon; Ari Ercole; Adrian Carpenter; Thomas Painter; Chao Li; James Gawith; Jun Ma; Jiabin Yang; Michael Parizh; Yavuz Ozturk; Tim Coombs; Wei Wu; Li Lu; Jie Sheng; Zhen Huang; Yujia Zhai; Yupeng Yuan; Weishu Wang

doi:10.1109/TASC.2020.2974417

Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method

Boyang Shen, Jun Yin, David Menon, Ari Ercole, Adrian Carpenter, Thomas Painter, Chao Li, James Gawith, Jun Ma, Jiabin Yang, Michael Parizh, Yavuz Ozturk, Tim Coombs, Wei Wu, Li Lu, Jie Sheng, Zhen Huang, Yujia Zhai, Yupeng Yuan, Weishu Wang

Research output: Contribution to journal › Article › peer-review

19 Citations (SciVal)

Abstract

This paper presents the design of an HTS magnet for an ultra compact MRI system, potentially for the rapid and early diagnosis of brain trauma. Early diagnosis and therapy stratification can reduce the risk for critically brain ill patients with the use of near patient imaging, and can aid with precision medicine. High temperature superconductors (HTS) have the ability to carry large currents in the cryogen free contrition, which can make the MRI system even smaller and lighter. The design and Genetic Algorithm (GA) optimization were based on the FEM package COMSOL Multiphysics with the LiveLink for MATLAB, together with the GA module in the MATLAB optimization toolbox. The relatively thick HTS tape, ST-12-L from the Shanghai Superconductor Technology was chosen and that made more difficulty on optimization process. Genetic Algorithm method improved the optimization performance, and the uniformity achieved 2.36 ppm in a 10 × 10 × 10 cm DSV. Two cases of the end double-pancake were compared. Further sensitivity studies were performed on the homogeneity with its relationship to the magnet length, and the thickness of HTS tape.

Original language	English
Article number	9000723
Journal	IEEE Transactions on Applied Superconductivity
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/TASC.2020.2974417
Publication status	Published - 17 Feb 2020

Bibliographical note

Funding Information:
Manuscript received September 23, 2019; accepted February 10, 2020. Date of publication February 17, 2020; date of current version March 6, 2020. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/R042918/1. (Corresponding author: Jiabin Yang.) Boyang Shen, Yavuz Öztürk, Chao Li, James Gawith, Jun Ma, Jiabin Yang, and Tim Coombs are with the Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, U.K. (e-mail: [email protected]; [email protected]).

Funding

Manuscript received September 23, 2019; accepted February 10, 2020. Date of publication February 17, 2020; date of current version March 6, 2020. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/R042918/1. (Corresponding author: Jiabin Yang.) Boyang Shen, Yavuz Öztürk, Chao Li, James Gawith, Jun Ma, Jiabin Yang, and Tim Coombs are with the Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, U.K. (e-mail: [email protected]; [email protected]).

Keywords

Finite element method
Genetic Algorithm (GA)
High temperature superconductor (HTS)
HTS magnet
Magnetic resonance imaging (MRI)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1109/TASC.2020.2974417

Cite this

Shen, B., Yin, J., Menon, D., Ercole, A., Carpenter, A., Painter, T., Li, C., Gawith, J., Ma, J., Yang, J., Parizh, M., Ozturk, Y., Coombs, T., Wu, W., Lu, L., Sheng, J., Huang, Z., Zhai, Y., Yuan, Y., & Wang, W. (2020). Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method. IEEE Transactions on Applied Superconductivity, 30(4), Article 9000723. https://doi.org/10.1109/TASC.2020.2974417

Shen, B, Yin, J, Menon, D, Ercole, A, Carpenter, A, Painter, T, Li, C, Gawith, J, Ma, J, Yang, J, Parizh, M, Ozturk, Y, Coombs, T, Wu, W, Lu, L, Sheng, J, Huang, Z, Zhai, Y, Yuan, Y & Wang, W 2020, 'Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method', IEEE Transactions on Applied Superconductivity, vol. 30, no. 4, 9000723. https://doi.org/10.1109/TASC.2020.2974417

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title = "Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method",

abstract = "This paper presents the design of an HTS magnet for an ultra compact MRI system, potentially for the rapid and early diagnosis of brain trauma. Early diagnosis and therapy stratification can reduce the risk for critically brain ill patients with the use of near patient imaging, and can aid with precision medicine. High temperature superconductors (HTS) have the ability to carry large currents in the cryogen free contrition, which can make the MRI system even smaller and lighter. The design and Genetic Algorithm (GA) optimization were based on the FEM package COMSOL Multiphysics with the LiveLink for MATLAB, together with the GA module in the MATLAB optimization toolbox. The relatively thick HTS tape, ST-12-L from the Shanghai Superconductor Technology was chosen and that made more difficulty on optimization process. Genetic Algorithm method improved the optimization performance, and the uniformity achieved 2.36 ppm in a 10 × 10 × 10 cm DSV. Two cases of the end double-pancake were compared. Further sensitivity studies were performed on the homogeneity with its relationship to the magnet length, and the thickness of HTS tape.",

keywords = "Finite element method, Genetic Algorithm (GA), High temperature superconductor (HTS), HTS magnet, Magnetic resonance imaging (MRI)",

author = "Boyang Shen and Jun Yin and David Menon and Ari Ercole and Adrian Carpenter and Thomas Painter and Chao Li and James Gawith and Jun Ma and Jiabin Yang and Michael Parizh and Yavuz Ozturk and Tim Coombs and Wei Wu and Li Lu and Jie Sheng and Zhen Huang and Yujia Zhai and Yupeng Yuan and Weishu Wang",

note = "Funding Information: Manuscript received September 23, 2019; accepted February 10, 2020. Date of publication February 17, 2020; date of current version March 6, 2020. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/R042918/1. (Corresponding author: Jiabin Yang.) Boyang Shen, Yavuz {\"O}zt{\"u}rk, Chao Li, James Gawith, Jun Ma, Jiabin Yang, and Tim Coombs are with the Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, U.K. (e-mail: [email protected]; [email protected]).",

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AU - Carpenter, Adrian

AU - Painter, Thomas

AU - Li, Chao

AU - Gawith, James

AU - Ma, Jun

AU - Yang, Jiabin

AU - Parizh, Michael

AU - Ozturk, Yavuz

AU - Coombs, Tim

AU - Wu, Wei

AU - Lu, Li

AU - Sheng, Jie

AU - Huang, Zhen

AU - Zhai, Yujia

AU - Yuan, Yupeng

AU - Wang, Weishu

N1 - Funding Information: Manuscript received September 23, 2019; accepted February 10, 2020. Date of publication February 17, 2020; date of current version March 6, 2020. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/R042918/1. (Corresponding author: Jiabin Yang.) Boyang Shen, Yavuz Öztürk, Chao Li, James Gawith, Jun Ma, Jiabin Yang, and Tim Coombs are with the Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, U.K. (e-mail: [email protected]; [email protected]).

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N2 - This paper presents the design of an HTS magnet for an ultra compact MRI system, potentially for the rapid and early diagnosis of brain trauma. Early diagnosis and therapy stratification can reduce the risk for critically brain ill patients with the use of near patient imaging, and can aid with precision medicine. High temperature superconductors (HTS) have the ability to carry large currents in the cryogen free contrition, which can make the MRI system even smaller and lighter. The design and Genetic Algorithm (GA) optimization were based on the FEM package COMSOL Multiphysics with the LiveLink for MATLAB, together with the GA module in the MATLAB optimization toolbox. The relatively thick HTS tape, ST-12-L from the Shanghai Superconductor Technology was chosen and that made more difficulty on optimization process. Genetic Algorithm method improved the optimization performance, and the uniformity achieved 2.36 ppm in a 10 × 10 × 10 cm DSV. Two cases of the end double-pancake were compared. Further sensitivity studies were performed on the homogeneity with its relationship to the magnet length, and the thickness of HTS tape.

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JO - IEEE Transactions on Applied Superconductivity

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Development of an HTS magnet for ultra-compact MRI System: Optimization using genetic algorithm (GA) Method

Abstract

Bibliographical note

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Keywords

ASJC Scopus subject areas

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