Fast and accurate X-ray fluorescence computed tomography imaging with the ordered-subsets expectation maximization algorithm
文献类型:期刊论文
作者 | Yang, Q(杨群) ; Deng, B(邓彪) ; Lv, WW ; Shen, F ; Chen, RC ; Wang, YD ; Du, GH(杜国浩) ; Yan, FH ; Xiao, TQ(肖体乔) ; Xu, HJ(徐洪杰) |
刊名 | JOURNAL OF SYNCHROTRON RADIATION
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出版日期 | 2012 |
卷号 | 19 |
ISSN号 | 0909-0495 |
英文摘要 | The ordered-subsets expectation maximization algorithm (OSEM) is introduced to X-ray fluorescence computed tomography (XFCT) and studied; here, simulations and experimental results are presented. The simulation results indicate that OSEM is more accurate than the filtered back-projection algorithm, and it can efficiently suppress the deterioration of image quality within a large range of angular sampling intervals. Experimental results of both an artificial phantom and cirrhotic liver show that with a satisfying image quality the angular sampling interval could be improved to save on the data-acquisition time when OSEM is employed. In addition, with an optimum number of subsets, the image reconstruction time of OSEM could be reduced to about half of the time required for one subset. Accordingly, it can be concluded that OSEM is a potential method for fast and accurate XFCT imaging. |
语种 | 英语 |
WOS记录号 | WOS:000300571300009 |
公开日期 | 2013-12-05 |
源URL | [http://ir.sinap.ac.cn/handle/331007/13164] ![]() |
专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
推荐引用方式 GB/T 7714 | Yang, Q,Deng, B,Lv, WW,et al. Fast and accurate X-ray fluorescence computed tomography imaging with the ordered-subsets expectation maximization algorithm[J]. JOURNAL OF SYNCHROTRON RADIATION,2012,19. |
APA | Yang, Q.,Deng, B.,Lv, WW.,Shen, F.,Chen, RC.,...&Xu, HJ.(2012).Fast and accurate X-ray fluorescence computed tomography imaging with the ordered-subsets expectation maximization algorithm.JOURNAL OF SYNCHROTRON RADIATION,19. |
MLA | Yang, Q,et al."Fast and accurate X-ray fluorescence computed tomography imaging with the ordered-subsets expectation maximization algorithm".JOURNAL OF SYNCHROTRON RADIATION 19(2012). |
入库方式: OAI收割
来源:上海应用物理研究所
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