International Journal on Magnetic Particle Imaging IJMPI
Vol. 12 No. 1 Suppl 1 (2026): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2026.2603033

Proceedings Articles, ID 1021

Fast Multi-Patch System Matrix Calibration in MPI Using Reference Patch Data

Main Article Content

Pengyue Guo (Xidian University), Kai Liu (1) School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China; 2) Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China), Yihan Wang (1) School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China; 2) Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China), Shouping Zhu (1) School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China; 2) Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China)

Copyright (c) 2026 Pengyue Guo, Kai Liu, Yihan Wang, Shouping Zhu

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In multi-patch magnetic particle imaging (MPI), optimal reconstruction performance using the joint reconstruction approach requires acquiring a complete system matrix (SM) for each patch, which leads to a substantial calibration burden. To address this issue, this study proposed a reference-based multi-patch SM fast calibration method. Leveraging the inherent correlations among SMs corresponding to different patches, we fully measure the complete SM only one reference patch, while for the other patches, data are measured at a limited number of positions. The complete SMs of the remaining patches are then reconstructed by referencing the complete SM of reference patch. Experimental results demonstrate that the proposed method significantly reduces the calibration time while achieving high-quality reconstruction of SMs for the other patches.

Article Details

References

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