SIRT-TV 3D image reconstruction for a simulated muon tomography of the QinShiHuang tomb

osmic-ray muons are suitable for non-destructive imaging of large-scale objects. However, due to the low statistics of cosmic-ray muons and the complicated surroundings of transmission muography experiments, transmission muography often faces challenges such as noise and incomplete data, posing certain difficulties for 3D image reconstruction. This paper applies the SIRT-TV algorithm to muon tomography, conducting a 3D image reconstruction simulation study based on a QinShiHuang tomb phantom. The results indicate that compared to the conventional SIRT algorithm, the SIRT-TV algorithm can effectively suppress artifacts in the reconstructed image, allowing for a more accurate reconstruction of the underground palace. The geometric similarity of the walls reconstructed by SIRT-TV is nearly tripled compared to that of SIRT. This study also discusses the impact of TV-minimization algorithm parameters, and the measurement configurations and durations on the quality of the reconstructed image, providing a reference point for future experiments.