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

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.

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Publication Details

Journal
Infinite Science GmbH
Published
2025-11-03
DOI
https://doi.org/10.18416/ijmpi.2026.2603033
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
Field-Weighted Citation Impact
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article

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

Yihan Wang, Pengyue Guo, Shouping Zhu, Kai Liu
Infinite Science GmbH
Characterization and Applications of Magnetic Nanoparticles
article

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

Yihan Wang, Pengyue Guo, Shouping Zhu, Kai Liu
article en

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.

Infinite Science GmbH
Xidian University (CN)
Openalex Percentile: Top 36%
Characterization and Applications of Magnetic Nanoparticles
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