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An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT

文献类型：期刊论文

作者Li, Sangang1,2; Dong, Zhengyun2; Gan, Quan2; Song, Jing2; Yang, Qi2
刊名ANNALS OF NUCLEAR ENERGY
出版日期2020-09-15
卷号145
ISSN号0306-4549
关键词Fast neutron computed tomography Irradiated fuel assemblies Filtered back-projection algorithm Simultaneous iterative reconstruction technique Median root prior Total variation
DOI10.1016/j.anucene.2020.107515
通讯作者Song, Jing(jing.song@fds.org.cn)
英文摘要Fast Neutron Computed Tomography (FNCT) can be applied in identifying induced structural anomalies of Irradiated Fuel Assemblies (IFA). This is because fast neutrons have high penetrability, and FNCT has the capability to avoid the interference of sample radioactivity and reconstruct internal information of sample. Few projections and a high sharpness are required for FNCT. In this study, an Adaptive Regularized Iterative Filtered Back-Projection algorithm (ARIFBP) was proposed to reduce the influence of few projections and improve sharpness by integrating the Filtered Back-Projection (FBP) operator into the Simultaneous Iterative Reconstruction Technique (SIRT), introducing Total Variation (TV) regularization, Median Root Prior algorithm (MRP) regularization and an adaptive parameter method. IFA and ammonal IFA from 120 simulated projections were reconstructed to evaluate the performance of ARIFBP algorithm. Their results have illustrated that the ARIFBP algorithm can better suppress the influence of few projections, obtain higher sharpness and more accurately identify anomalies of IFA than other three algorithms i.e. FBP, SIRT and SIRT-TV. Furthermore, the improved sharpness and fewer projections can be achieved by employing the projection difference data between IFA and abnormal IFA. (C) 2020 Elsevier Ltd. All rights reserved.
WOS关键词IMAGE-RECONSTRUCTION ; NEUTRON TOMOGRAPHY ; CT RECONSTRUCTION
资助项目Informatization Project of Chinese Academy of Sciences[XXH13506-104] ; Young Elite Scientists Sponsorship Program by CAST[2017QNRC001] ; project of HIPS[KP-2017-19] ; Special Project of Youth Innovation Promotion, Association of Chinese Academy of Sciences ; Industrialization Fund
WOS研究方向Nuclear Science & Technology
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000540700300003
资助机构Informatization Project of Chinese Academy of Sciences ; Young Elite Scientists Sponsorship Program by CAST ; project of HIPS ; Special Project of Youth Innovation Promotion, Association of Chinese Academy of Sciences ; Industrialization Fund
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/71466]  
专题中国科学院合肥物质科学研究院
通讯作者Song, Jing
作者单位1.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
2.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Li, Sangang,Dong, Zhengyun,Gan, Quan,et al. An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT[J]. ANNALS OF NUCLEAR ENERGY,2020,145.
APA Li, Sangang,Dong, Zhengyun,Gan, Quan,Song, Jing,&Yang, Qi.(2020).An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT.ANNALS OF NUCLEAR ENERGY,145.
MLA Li, Sangang,et al."An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT".ANNALS OF NUCLEAR ENERGY 145(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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