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Muon tomography is developing as a promising system to detect high-Z (atomicnumber) material for ensuring homeland security. In the present work, threekinds of spatial locations of materials which are made of aluminum, iron, leadand uranium are simulated with GEANT4 codes, which are horizontal, diagonal andvertical objects, respectively. Two statistical algorithms are used with MATLABsoftware to reconstruct the image of detected objects, which are the Point ofCloset Approach (PoCA) and Maximum Likelihood Scattering-ExpectationMaximization iterative algorithm (MLS-EM), respectively. Two analysis methodsare used to evaluate the quality of reconstruction image, which are theReceiver Operating Characteristic (ROC) and the localization ROC (LROC) curves,respectively. The reconstructed results show that, compared with PoCAalgorithm, MLS-EM can achieve a better image quality in both edge preservingand noise reduction. And according to the analysis of ROC (LROC) curves, itshows that MLS-EM algorithm can discriminate and exclude the presence andlocation of high-Z object with a high efficiency, which is more flexible withan different EM algorithm employed than prior work. Furthermore the MLS-EMiterative algorithm will be modified and ran in parallel executive way forimproving the reconstruction speed.

The Study of Cosmic Ray Tomography Using Multiple Scattering of Muons for Imaging of High-Z Materials