Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method

Indirect neutron imaging is an effective method for nondestructive testing of spent nuclear fuel elements. Considering the difficulty of obtaining experimental data in a high-radiation environment and the characteristic of high noise of neutron images, it is difficult to use the traditional FBP algo...

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Autores principales:	Yapeng Wu, Min Yang, Linfeng He, Qiang Lin, Meimei Wu, Zhengyao Li, Yuqing Li, Xiaoguang Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	neutron sparse-view median root prior nuclear fuel element weighted total difference minimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/5de87b564a68408ca22503e272b155dd
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spelling	oai:doaj.org-article:5de87b564a68408ca22503e272b155dd2021-11-25T16:41:34ZSparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method10.3390/app1122109422076-3417https://doaj.org/article/5de87b564a68408ca22503e272b155dd2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10942https://doaj.org/toc/2076-3417Indirect neutron imaging is an effective method for nondestructive testing of spent nuclear fuel elements. Considering the difficulty of obtaining experimental data in a high-radiation environment and the characteristic of high noise of neutron images, it is difficult to use the traditional FBP algorithm to recover the complete information of the sample based on the limited projection data. Therefore, it is necessary to develop the sparse-view CT reconstruction algorithm for indirect neutron imaging. In order to improve the quality of the reconstruction image, an iterative reconstruction method combining SIRT, MRP, and WTDM regularization is proposed. The reconstruction results obtained by using the proposed method on simulated data and actual neutron projection data are compared with the results of four other algorithms (FBP, SIRT, SIRT-TV, and SIRT-WTDM). The experimental results show that the SIRT-MWTDM algorithm has great advantages in both objective evaluation index and subjective observation in the reconstruction image of simulated data and neutron projection data.Yapeng WuMin YangLinfeng HeQiang LinMeimei WuZhengyao LiYuqing LiXiaoguang LiuMDPI AGarticleneutronsparse-viewmedian root priornuclear fuel elementweighted total difference minimizationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10942, p 10942 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neutron sparse-view median root prior nuclear fuel element weighted total difference minimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	neutron sparse-view median root prior nuclear fuel element weighted total difference minimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Yapeng Wu Min Yang Linfeng He Qiang Lin Meimei Wu Zhengyao Li Yuqing Li Xiaoguang Liu Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
description	Indirect neutron imaging is an effective method for nondestructive testing of spent nuclear fuel elements. Considering the difficulty of obtaining experimental data in a high-radiation environment and the characteristic of high noise of neutron images, it is difficult to use the traditional FBP algorithm to recover the complete information of the sample based on the limited projection data. Therefore, it is necessary to develop the sparse-view CT reconstruction algorithm for indirect neutron imaging. In order to improve the quality of the reconstruction image, an iterative reconstruction method combining SIRT, MRP, and WTDM regularization is proposed. The reconstruction results obtained by using the proposed method on simulated data and actual neutron projection data are compared with the results of four other algorithms (FBP, SIRT, SIRT-TV, and SIRT-WTDM). The experimental results show that the SIRT-MWTDM algorithm has great advantages in both objective evaluation index and subjective observation in the reconstruction image of simulated data and neutron projection data.
format	article
author	Yapeng Wu Min Yang Linfeng He Qiang Lin Meimei Wu Zhengyao Li Yuqing Li Xiaoguang Liu
author_facet	Yapeng Wu Min Yang Linfeng He Qiang Lin Meimei Wu Zhengyao Li Yuqing Li Xiaoguang Liu
author_sort	Yapeng Wu
title	Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
title_short	Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
title_full	Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
title_fullStr	Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
title_full_unstemmed	Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method
title_sort	sparse-view neutron ct reconstruction using a modified weighted total difference minimization method
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5de87b564a68408ca22503e272b155dd
work_keys_str_mv	AT yapengwu sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT minyang sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT linfenghe sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT qianglin sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT meimeiwu sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT zhengyaoli sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT yuqingli sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod AT xiaoguangliu sparseviewneutronctreconstructionusingamodifiedweightedtotaldifferenceminimizationmethod
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Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method

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