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

doi:10.1016/j.anucene.2020.107515

HFCAS OpenIR

	An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT
	Li, Sangang 1,2; Dong, Zhengyun 1; Gan, Quan 1; Song, Jing 1; Yang, Qi 1
	2020-09-15
发表期刊	ANNALS OF NUCLEAR ENERGY
ISSN	0306-4549
通讯作者	Song, Jing(jing.song@fds.org.cn)
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.
关键词	Fast neutron computed tomography Irradiated fuel assemblies Filtered back-projection algorithm Simultaneous iterative reconstruction technique Median root prior Total variation
DOI	10.1016/j.anucene.2020.107515
关键词[WOS]	IMAGE-RECONSTRUCTION ; NEUTRON TOMOGRAPHY ; CT RECONSTRUCTION
收录类别	SCI
语种	英语
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
项目资助者	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
WOS研究方向	Nuclear Science & Technology
WOS类目	Nuclear Science & Technology
WOS记录号	WOS:000540700300003
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	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.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China 2.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
第一作者单位	中国科学院核能安全技术研究所
通讯作者单位	中国科学院核能安全技术研究所
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).