Improved Cohen-Sutherland algorithm for TGS transmission imaging

Yu-Cheng Yan

doi:10.1007/s41365-023-01238-8

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Improved Cohen-Sutherland algorithm for TGS transmission imaging

NUCLEAR ELECTRONICS AND INSTRUMENTATION | Updated：2023-08-14

- Improved Cohen-Sutherland algorithm for TGS transmission imaging
- Improved Cohen-Sutherland algorithm for TGS transmission imaging
- 核技术（英文版） 2023年34卷第6期文章编号：98
- Affiliations：
  
  1.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
  2.The Engineering & Technical College of Chengdu University of Technology, Leshan 614000, China
  3.Southwestern Institute of Physics, Chengdu 610225, China
  4.Sichuan University of Science & Engineering, Zigong 643000, China
- Author bio：
  
  *liumz@cdut.edu.cn
- Funds：
  
  Key Project of the National Natural Science Foundation of China(U19A2086);Science And Technology Bureau Of LeShan City(22ZDYJ0015)
- DOI：10.1007/s41365-023-01238-8
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Improved Cohen-Sutherland algorithm for TGS transmission imaging[J]. 核技术（英文版）, 2023, 34(6):98

Yu-Cheng Yan, Ming-Zhe Liu, Xing-Yu Li, et al. Improved Cohen-Sutherland algorithm for TGS transmission imaging[J]. Nuclear Science and Techniques, 2023, 34(6):98
Improved Cohen-Sutherland algorithm for TGS transmission imaging[J]. 核技术（英文版）, 2023, 34(6):98 DOI： 10.1007/s41365-023-01238-8.

Yu-Cheng Yan, Ming-Zhe Liu, Xing-Yu Li, et al. Improved Cohen-Sutherland algorithm for TGS transmission imaging[J]. Nuclear Science and Techniques, 2023, 34(6):98 DOI： 10.1007/s41365-023-01238-8.

摘要

Abstract

Tomographic Gamma Scanner (TGS), an advanced γ-ray nondestructive analysis technique, can locate and analyze nuclides in radioactive nuclear waste, and TGS can be categorized into two types: e.g., transmission measurement and emission measurement). Specifically, transmission measurements provide the basis for accurate measurement of nonuniform radionuclide content in TGS scanning. The scan data were obtained using the Monte Carlo tool Geant4 simulation, and 25 voxels were divided into five lengths and five widths in a square barrel. In this study, an encoding cropping algorithm based on draped foot vector judgment was adopted to rapidly calculate the voxel trace matrix within a square bucket of nuclear waste, and the transmission images were reconstructed using ordered subset expectation maximization (OSEM). The results indicated that the cropping speed of the improved coding algorithm was significantly higher than that of the original algorithm, and the relative mean deviation (RMD) and root mean square error (RMSE) between the reconstructed attenuation coefficient and the reference standard value tended to decrease with an increase in the cropped line segments in the voxel; the Pearson correlation coefficient (PCC) tended to converge to 1.0. The image quality evaluation parameters of the high media-density materials were better than those of the low media-density materials in the above three indexes. The reconstruction effect was relatively poor for more complex filling materials. When there were more than 10 cropped line segments in the voxel, the reconstruction data generally tended to be stable. The graphical trimming algorithm can rapidly calculate the trace matrix of the scanned voxels; it exhibits the advantages of speed and efficiency and can serve as a novel method to solve the trace matrix of TGS nuclear waste transmission scans.

关键词

Keywords

TGSCohen-SutherlandTransmission scanningTrace matrix

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