Optimization study of a clustering algorithm for cosmic-ray muon scattering tomography used in fast inspection

Linjun Hou; Yonggang Huo; Wenming Zuo; Qingxu Yao; Jianqing Yang; Quanhu Zhang

doi:https://doi.org/10.1016/j.net.2020.06.004

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자료유형: 학술저널

저자정보: Linjun Hou (Xi’an Research Institute of Hi-Tech) Yonggang Huo (Xi’an Research Institute of Hi-Tech) Wenming Zuo (Xi’an Research Institute of Hi-Tech) Qingxu Yao (Xi’an Research Institute of Hi-Tech) Jianqing Yang (Xi’an Research Institute of Hi-Tech) Quanhu Zhang (Xi’an Research Institute of Hi-Tech)

저널정보: 한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제53권 제1호

발행연도: 2021.1

수록면: 208 - 215 (8page)

DOI: https://doi.org/10.1016/j.net.2020.06.004

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Cosmic-ray muon scattering tomography (MST) technology is a new radiation imaging technology withunique advantages. As the performance of its image reconstruction algorithm has a crucial influence onthe imaging quality, researches on this algorithm are of great significance to the development andapplication of this technology. In this paper, a fast inspection algorithm based on clustering analysis forthe identification of the existence of nuclear materials is studied and optimized. Firstly, the principles ofMST technology and a binned clustering algorithm were introduced, and then several simulation experimentswere carried out using Geant4 toolkit to test the effects of exposure time, algorithmparameter, the size and structure of object on the performance of the algorithm. Based on these, weproposed two optimization methods for the clustering algorithm: the optimization of vertical distancecoefficient and the displacement of sub-volumes. Finally, several sets of experiments were designed tovalidate the optimization effect, and the results showed that these two optimization methods couldsignificantly enhance the distinguishing ability of the algorithm for different materials, help to obtainmore details in practical applications, and was therefore of great importance to the development andapplication of the MST technology.

#Radiation tomography #Algorithm optimization #Muon scattering tomography Nuclear safety

참고문헌 (14)

참고문헌 신청

K. A. Olive / 2014 / Review of particle physics / Chin. Phys. C 38(9):090001

K. N. Borozdin / 2004 / Information extraction from muon radiography data

K. N. Borozdin / 2003 / Surveillance : radiographic imaging with cosmic-ray muons / Nature 422:277~278

J. M. Durham / 2015 / Tests of cosmic ray radiography for power industry applications / AIP Adv 5:067111

T. Sugita / 2014 / Cosmic-ray muon radiography of UO2 fuel assembly / J. Nucl. Sci. Technol 51(7-8):1024~1031

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