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Magnetic particle imaging (MPI) is a promising modality for medical imaging with high resolution and sensitivity. In this paper, the averaging randomized Kaczmarz (ARK) reconstruction method is proposed to accelerate the system matrix reconstruction process. Compared with the traditional Kaczmarz method, the ARK algorithm improves the image quality and reconstruction resolution. The iterative parameters of the ARK are selected, and further optimization needs to be studied.