A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm
Abstract In Magnetic Resonance Imaging (MRI), achieving a highly uniform main magnetic field (B0) is essential for producing detailed images of human anatomy. Passive Shimming (PS) is a technique used to enhance B0 uniformity by strategically arranging shimming iron pieces inside the magnet bore. Tr...
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-13751-4 |
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| author | Jie Zhao Minhua Zhu Ling Xia Yifeng Fan Feng Liu |
| author_facet | Jie Zhao Minhua Zhu Ling Xia Yifeng Fan Feng Liu |
| author_sort | Jie Zhao |
| collection | DOAJ |
| description | Abstract In Magnetic Resonance Imaging (MRI), achieving a highly uniform main magnetic field (B0) is essential for producing detailed images of human anatomy. Passive Shimming (PS) is a technique used to enhance B0 uniformity by strategically arranging shimming iron pieces inside the magnet bore. Traditionally, PS optimization has been implemented using Linear Programming (LP), posing challenges in balancing field quality with the quantity of iron used for shimming. This work aims to improve the efficacy of passive shimming by optimally balancing field quality, iron usage, and harmonics, leading to a smoother field profile. This study introduces a hybrid algorithm that combines a Pattern Search Algorithm with Sequential Quadratic Programming (PSA-SQP) to enhance shimming performance. Additionally, a regularization method is employed to effectively reduce the use of iron pieces. The magnetic field improved from 462 ppm to 6.7 ppm, utilizing merely 0.8 kg of iron in a 400 mm Diameter of Spherical Volume (DSV) of a 7T MRI magnet. Compared to traditional LP optimization techniques, this method notably enhanced magnetic field uniformity by 98.5% and reduced the iron weight requirement by 91.7%, showcasing impressive performance. The proposed new passive shimming algorithm is more effective in improving magnetic field uniformity for MRI applications. |
| format | Article |
| id | doaj-art-aaa1da7898e04151ba3239858edb7b48 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-aaa1da7898e04151ba3239858edb7b482025-08-20T04:02:46ZengNature PortfolioScientific Reports2045-23222025-08-0115111010.1038/s41598-025-13751-4A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithmJie Zhao0Minhua Zhu1Ling Xia2Yifeng Fan3Feng Liu4School of Medical Imaging, Hangzhou Medical CollegeSchool of Medical Imaging, Hangzhou Medical CollegeKey Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang UniversitySchool of Medical Imaging, Hangzhou Medical CollegeSchool of Information Technology and Electrical Engineering, The University of QueenslandAbstract In Magnetic Resonance Imaging (MRI), achieving a highly uniform main magnetic field (B0) is essential for producing detailed images of human anatomy. Passive Shimming (PS) is a technique used to enhance B0 uniformity by strategically arranging shimming iron pieces inside the magnet bore. Traditionally, PS optimization has been implemented using Linear Programming (LP), posing challenges in balancing field quality with the quantity of iron used for shimming. This work aims to improve the efficacy of passive shimming by optimally balancing field quality, iron usage, and harmonics, leading to a smoother field profile. This study introduces a hybrid algorithm that combines a Pattern Search Algorithm with Sequential Quadratic Programming (PSA-SQP) to enhance shimming performance. Additionally, a regularization method is employed to effectively reduce the use of iron pieces. The magnetic field improved from 462 ppm to 6.7 ppm, utilizing merely 0.8 kg of iron in a 400 mm Diameter of Spherical Volume (DSV) of a 7T MRI magnet. Compared to traditional LP optimization techniques, this method notably enhanced magnetic field uniformity by 98.5% and reduced the iron weight requirement by 91.7%, showcasing impressive performance. The proposed new passive shimming algorithm is more effective in improving magnetic field uniformity for MRI applications.https://doi.org/10.1038/s41598-025-13751-4Magnetic resonance imagingPassive shimmingPattern search algorithmSequential quadratic programmingHybrid optimization |
| spellingShingle | Jie Zhao Minhua Zhu Ling Xia Yifeng Fan Feng Liu A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm Scientific Reports Magnetic resonance imaging Passive shimming Pattern search algorithm Sequential quadratic programming Hybrid optimization |
| title | A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm |
| title_full | A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm |
| title_fullStr | A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm |
| title_full_unstemmed | A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm |
| title_short | A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm |
| title_sort | novel passive shimming optimization method of mri magnet based on a psa sqp hybrid algorithm |
| topic | Magnetic resonance imaging Passive shimming Pattern search algorithm Sequential quadratic programming Hybrid optimization |
| url | https://doi.org/10.1038/s41598-025-13751-4 |
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