Ms. Yuanyuan Liu Profile

Yuanyuan Liu

at Tsinghua Univ

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Proceedings Article | 18 March 2008 Paper

MLSD-OSEM reconstruction algorithm for cosmic ray muon radiography

Yuanyuan Liu, Ziran Zhao, Zhiqiang Chen, Li Zhang, Yuxiang Xing

Proceedings Volume 6913, 691331 (2008) https://doi.org/10.1117/12.769803

KEYWORDS: Reconstruction algorithms, Muons, Scattering, Radiography, Optical spheres, Monte Carlo methods, Atmospheric particles, Numerical simulations, Particles, Expectation maximization algorithms

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Cosmic ray muon radiography which has a good penetrability and sensitivity to high-Z materials is an effective way for detecting shielded nuclear materials. Reconstruction algorithm is the key point of this technique. Currently, there are two main algorithms about this technique. One is the Point of Closest Approach (POCA) reconstruction algorithm which uses the track information to reconstruct; the other is the Maximum Likelihood estimation, such as the Maximum Likelihood Scattering (MLS) and the Maximum Likelihood Scattering and Displacement (MLSD) reconstruction algorithms which are proposed by the Los Alamos National Laboratory (LANL). The performance of MLSD is better than MLS. Since MLSD reconstruction algorithm includes scattering and displacement information while MLS reconstruction algorithm only includes scattering information. In order to get this Maximum Likelihood estimation, in this paper, we propose to use EM method to get the estimation (MLS-EM and MLSD-EM). Then, in order to saving reconstruction time we use the OS technique to accelerate MLS and MLSD reconstruction algorithm with the initial value set to be the result of the POCA reconstruction algorithm. That is, the Maximum Likelihood Scattering-OSEM (MLS-OSEM) and the Maximum Likelihood Scattering and Displacement-OSEM (MLSD-OSEM). Numerical simulations show that the MLSD-OSEM is an effective algorithm and the performance of MLSD-OSEM is better than MLS-OSEM.

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