18 March 2008 MLSD-OSEM reconstruction algorithm for cosmic ray muon radiography
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Abstract
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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Yuanyuan Liu, Yuanyuan Liu, Ziran Zhao, Ziran Zhao, Zhiqiang Chen, Zhiqiang Chen, Li Zhang, Li Zhang, Yuxiang Xing, Yuxiang Xing, } "MLSD-OSEM reconstruction algorithm for cosmic ray muon radiography", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691331 (18 March 2008); doi: 10.1117/12.769803; https://doi.org/10.1117/12.769803
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