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Hybrid model for muon tomography and quantitative analysis of image quality

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Abstract

Muon tomography is a novel method for the non-destructive imaging of materials based on muon rays, which are highly penetrating in natural background radiation. Currently, the most commonly used imaging methods include muon radiography and muon tomography. A previously studied method known as coinciding muon trajectory density tomography, which utilizes muonic secondary particles, is proposed to image low and medium atomic number (Z) materials. However, scattering tomography is mostly used to image high-Z materials, and coinciding muon trajectory density tomography exhibits a hollow phenomenon in the imaging results owing to the self-absorption effect. To address the shortcomings of the individual imaging methods, hybrid model tomography combining scattering tomography and coinciding muon trajectory density tomography is proposed and verified. In addition, the peak signal-to-noise ratio was introduced to quantitatively analyze the image quality. Different imaging models were simulated using the Geant4 toolkit to confirm the advantages of this innovative method. The simulation results showed that hybrid model tomography can image centimeter-scale materials with low, medium, and high Z simultaneously. For high-Z materials with similar atomic numbers, this method can clearly distinguish those with apparent differences in density. According to the peak signal-to-noise ratio of the analysis, the reconstructed image quality of the new method was significantly higher than that of the individual imaging methods. This study provides a reliable approach to the compatibility of scattering tomography and coinciding muon trajectory density tomography.

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Authors and Affiliations

  1. School of Nuclear Science and Technology, University of South China, Hengyang, 421001, China

    Si-Yuan Luo, Yu-He Huang, Xuan-Tao Ji, Lie He, Wan-Cheng Xiao, Feng-Jiao Luo, Song Feng, Min Xiao & Xiao-Dong Wang

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  1. Si-Yuan Luo
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  2. Yu-He Huang
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  3. Xuan-Tao Ji
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  4. Lie He
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  5. Wan-Cheng Xiao
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  6. Feng-Jiao Luo
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  7. Song Feng
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  8. Min Xiao
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  9. Xiao-Dong Wang
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Si-Yuan Luo, Yu-He Huang, Xuan-Tao Ji, Lie He, and Xiao-Dong Wang. The first draft of the manuscript was written by Si-Yuan Luo, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiao-Dong Wang.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 11875163), Natural Science Foundation of Hunan Province (Nos. 2021JJ20006 and 2021JJ40444), Ministry of Science and Technology of China (No. 2020YFE0202001), and Department of Education of Hunan Province (Nos. 19B488 and 21A0281).

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Luo, SY., Huang, YH., Ji, XT. et al. Hybrid model for muon tomography and quantitative analysis of image quality. NUCL SCI TECH 33, 81 (2022). https://doi.org/10.1007/s41365-022-01070-6

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