Study of image reconstruction using dynamic grids in tomographic gamma scanning

查看全文 作　　者：LIU Cheng GU Weiguo QIAN Nan WANG [1]Dezhong

机构地区：[1]School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

出　　处：《Nuclear Science and Techniques》索引2012年第23卷第5期,共7页

基　　金：Supported by National Natural Science Foundation of China(No.51106095,11175118);China Postdoctoral Science Foundation(No.20110490717) 摘　　要：In this paper, a new image reconstruction algorithm employing dynamic grids technique is proposed for tomographic gamma scanning. The key feature of the algorithm is the use of adaptive grid refinement in areas that indicate large values. Simulation results show that the application of dynamic grids has a good performance in emission reconstruction with a distinct advantage in the accurate positioning of the 'hot spots' and reducing the number of grids, but doesn't achieve a tangible improvement in transmission reconstruction. 关键词：层析γ扫描动态网格图像重建网格技术网格细化仿真结果准确定位自适应

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Study of image reconstruction using dynamic grids in tomographic gamma scanning

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