中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
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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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