Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization Method Article Swipe
Yapeng Wu
,
Min Yang
,
Linfeng He
,
Qiang Lin
,
Meimei Wu
,
Zhengyao Li
,
Yuqing Li
,
Xiaoguang Liu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/app112210942
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/app112210942
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app112210942
- https://www.mdpi.com/2076-3417/11/22/10942/pdf?version=1637318173
- OA Status
- gold
- Cited By
- 1
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3216659877
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3216659877Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app112210942Digital Object Identifier
- Title
-
Sparse-View Neutron CT Reconstruction Using a Modified Weighted Total Difference Minimization MethodWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-19Full publication date if available
- Authors
-
Yapeng Wu, Min Yang, Linfeng He, Qiang Lin, Meimei Wu, Zhengyao Li, Yuqing Li, Xiaoguang LiuList of authors in order
- Landing page
-
https://doi.org/10.3390/app112210942Publisher landing page
- PDF URL
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https://www.mdpi.com/2076-3417/11/22/10942/pdf?version=1637318173Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/11/22/10942/pdf?version=1637318173Direct OA link when available
- Concepts
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Projection (relational algebra), Computer science, Iterative reconstruction, Regularization (linguistics), Neutron imaging, Algorithm, Artificial intelligence, Sample (material), Neutron, Computer vision, Mathematics, Physics, Nuclear physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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