Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-06-115 ISMRM Abstract

Optimizing Permanent Magnet Arrays for portable MRI based on Mixed Integer Linear Programming

Accepted
Ayano Shoji1, Junqi YANG 1, Yosuke Akama, Masashi Sekine2, Tianyi Yang1, shaoying huang3, Wenwei Yu1,2
1Department of Medical Engineering, Chiba University, Chiba, Japan
2Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
3Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore
Presenting Author: Junqi YANG

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References

1. T. C. Arnold, C. W. Freeman, B. Litt, and J. M. Stein, “Low-field MRI: Clinical promise and challenges,” J. Magn. Reson. Imaging, vol. 57, no. 1, pp. 25–44, 2023, doi: 10.1002/jmri.28408. [doi]
2. C. Z. Cooley et al., “Design of Sparse Halbach Magnet Arrays for Portable MRI Using a Genetic Algorithm,” IEEE Trans. Magn., vol. 54, no. 1, pp. 1–12, Jan. 2018, doi: 10.1109/TMAG.2017.2751001. [doi]
3. T.-O. Liang, Y. H. Koh, T. Qiu, E. Li, W. Yu, and S. Y. Huang, “High-performance permanent magnet array design by a fast genetic algorithm (GA)-based optimization for low-field portable MRI,” J. Magn. Reson., vol. 345, p. 107309, Dec. 2022, doi: 10.1016/j.jmr.2022.107309. [doi]
4. S. Katoch, S. S. Chauhan, and V. Kumar, “A review on genetic algorithm: past, present, and future,” Multimed. Tools Appl., vol. 80, no. 5, pp. 8091–8126, Feb. 2021, doi: 10.1007/s11042-020-10139-6. [doi]
5. A. Vie, A. M. Kleinnijenhuis, and D. J. Farmer, “Qualities, challenges and future of genetic algorithms: a literature review,” Sept. 13, 2021, arXiv: arXiv:2011.05277. doi: 10.48550/arXiv.2011.05277. [doi]
6. T.-O. Liang, Y. H. Koh, T. Qiu, E. Li, W. Yu, and S. Y. Huang, “MagTetris: A simulator for fast magnetic field and force calculation for permanent magnet array designs,” J. Magn. Reson., vol. 352, p. 107463, July 2023, doi: 10.1016/j.jmr.2023.107463. [doi]

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