Statistical reconstruction for cosmic ray muon tomography
Statistical reconstruction for cosmic ray muon tomography
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DOI：
10.1109/tip.2007.901239
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发表时间：
2007-08-01
影响因子：
10.6
通讯作者：
Sossong, Michael J.
中科院分区：
文献类型：
--
作者：
Schultz, Larry J.;Blanpied, Gary S.;Sossong, Michael J.
高度穿透性的宇宙射线不断以每分钟1 μ子/厘米(2)的速度射向地球。我们开发了一种技术，利用这些粒子的多重库仑散射来进行无损检测，而不使用人工辐射。在之前的工作[1]-[3]中，我们描述了处理联合数据以创建重建图像的启发式方法。在本文中，我们提出了一种针对该技术设计的最大似然/期望最大化层析重建算法。该算法借鉴了医学成像技术，特别是发射断层扫描技术，但μ子散射的统计表明了差异。描述了多重散射的统计模型，推导了多重散射的重建算法，并给出了仿真实例。我们还提出了提高算法对实验误差和偏离统计模型的事件的鲁棒性的方法。
Highly penetrating cosmic ray unions constantly shower the earth at a rate of about 1 muon per cm(2) per minute. We have developed a technique which exploits the multiple Coulomb scattering of these particles to perform nondestructive inspection without the use of artificial radiation. In prior work [1]-[3], we have described heuristic methods for processing union data to create reconstructed images. In this paper, we present a maximum likelihood/expectation maximization tomographic reconstruction algorithm designed for the technique. This algorithm borrows much from techniques used in medical imaging, particularly emission tomography, but the statistics of muon scattering dictates differences. We describe the statistical model for multiple scattering, derive the reconstruction algorithm, and present simulated examples. We also propose methods to improve the robustness of the algorithm to experimental errors and events departing from the statistical model.