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<p>Cosmic-ray muons are suitable for the nondestructive imaging of large-scale objects. However, owing to the low statistics of cosmic-ray muons and the complicated surroundings of transmission muography experiments, the applicability of transmission muography is limited by challenges such as noise and incomplete data, which hinder 3D image reconstruction. In this study, we applied the SIRT-TV algorithm to muon tomography to perform 3D image reconstruction simulations based on the QinShiHuang tomb phantom. The results indicate that compared with 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 three times that of the results reconstructed by SIRT. This paper further discusses the impact of the TV-minimization algorithm parameters, measurement configurations, and durations on the quality of the reconstructed image, providing a reference point for future experiments.</p>

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

  • 期刊论文

  • 发表日期：

    2026年5月30日

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  • Ning Su,
  • Yuan-Yuan Liu,
  • Li Wang,
  • Jian-Jie Zhang,
  • Zhi Zhou,
  • Xin Zhao,
  • Wen-Wan Ding,
  • Peng Zheng,
  • Jian-Ping Cheng

摘要

Cosmic-ray muons are suitable for the nondestructive imaging of large-scale objects. However, owing to the low statistics of cosmic-ray muons and the complicated surroundings of transmission muography experiments, the applicability of transmission muography is limited by challenges such as noise and incomplete data, which hinder 3D image reconstruction. In this study, we applied the SIRT-TV algorithm to muon tomography to perform 3D image reconstruction simulations based on the QinShiHuang tomb phantom. The results indicate that compared with 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 three times that of the results reconstructed by SIRT. This paper further discusses the impact of the TV-minimization algorithm parameters, measurement configurations, and durations on the quality of the reconstructed image, providing a reference point for future experiments.