Work

A score-based model guided by signals for magnetic particle imaging reconstruction

Year: 2024

Type: article

Abstract: Magnetic particle imaging (MPI) can reconstruct the distribution of magnetic nanoparticles (MNPs) from their nonlinear response signals. The traditional system matrix (SM) reconstruction method requires solving an ill-posed inverse problem using hand-crafted regularization terms that demand careful parameter tuning. Here, we proposed a score-based model guided by signals for MPI reconstruction. The measured response signals were embedded to guide the score-based model in sampling specific MPI images from noise. Simulated experiments showed that our proposed method could improve the reconstruction quality.

Source: International journal on magnetic particle imaging

DOI: 10.18416/ijmpi.2025.2503068

Authors: Wang, Bingye, Wei, Zechen, Liu, Yuanduo, Yang, Xin, Tian, Jie, Hui, Hui

Institutions: Institute of Automation, Beihang University

Language: English

Topic: Characterization and Applications of Magnetic Nanoparticles

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Youth Innovation Promotion Association

Awards: G1271661626, G2635140335, G6288977234, G911398917