2025/03/16 by Wang, Bingye, Wei, Zechen, Liu, Yuanduo +3
#Image reconstruction #Magnetic particle imaging #Score-based model
paper · doi:10.18416/ijmpi.2025.2503068
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.