Domain-weighted Block Coordinate Descent for quantitative single-sided MPI reconstruction

Single-sided Magnetic Particle Imaging (MPI) provides a solution suitable for intraoperative localization. However, asymmetric coil arrangements cause nonuniform magnetic fields and depth-dependent sensitivity decay, leading to biased reconstructions. This paper proposes a domain-weighted Block Coordinate Descent (DW-BCD) algorithm for quantitative single-sided MPI reconstruction. A preliminary reconstruction estimates the signal support domain, from which weighting and regional partitioning are derived. The subsequent reconstruction combines block-wise domain-weighted and global total variation(TV) regularization. Experiments show that DW-BCD effectively reduces depth-related concentration bias, enabling accurate quantitative reconstruction of magnetic nanoparticle distributions for clinical applications of single-sided MPI.

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Publication Details

Journal
Infinite Science GmbH
Published
2025-11-03
DOI
https://doi.org/10.18416/ijmpi.2026.2603041
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
Field-Weighted Citation Impact
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article

Domain-weighted Block Coordinate Descent for quantitative single-sided MPI reconstruction

Kaiwen Yang, Shouping Zhu, Lingwen Hou, Yihan Wang
Infinite Science GmbH
Characterization and Applications of Magnetic Nanoparticles
article

Domain-weighted Block Coordinate Descent for quantitative single-sided MPI reconstruction

Kaiwen Yang, Shouping Zhu, Lingwen Hou, Yihan Wang
article en

Abstract

Single-sided Magnetic Particle Imaging (MPI) provides a solution suitable for intraoperative localization. However, asymmetric coil arrangements cause nonuniform magnetic fields and depth-dependent sensitivity decay, leading to biased reconstructions. This paper proposes a domain-weighted Block Coordinate Descent (DW-BCD) algorithm for quantitative single-sided MPI reconstruction. A preliminary reconstruction estimates the signal support domain, from which weighting and regional partitioning are derived. The subsequent reconstruction combines block-wise domain-weighted and global total variation(TV) regularization. Experiments show that DW-BCD effectively reduces depth-related concentration bias, enabling accurate quantitative reconstruction of magnetic nanoparticle distributions for clinical applications of single-sided MPI.

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