First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction

Yang Liu; Teng-Fei Zhu; Zhi Luo; Xiao-Ping Ouyang

doi:10.1007/s41365-023-01258-4

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First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction

ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS | Updated：2023-09-19

- First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction
- First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction
- 核技术（英文版） 2023年34卷第8期文章编号：118
- Affiliations：
  
  1.School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China
  2.State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
  3.State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Xi’an 710024, China
- Author bio：
  
  * yliu@ncepu.edu.cn
- Funds：
  
  National Key Research and Development Program of China(2022YFB1902700);National Natural Science Foundation of China(11875129);Fund of the State Key Laboratory of Intense Pulsed Radiation Simulation and Effect(SKLIPR1810);Fund of Innovation Center of Radiation Application(KFZC2020020402);Fund of the State Key Laboratory of Nuclear Physics and Technology, Peking University(NPT2020KFY08);Joint Innovation Fund of China National Uranium Co., Ltd., State Key Laboratory of Nuclear Resources and Environment, East China University of Technology(2022NRE-LH-02)
- DOI：10.1007/s41365-023-01258-4
  中图分类号：
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First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction[J]. 核技术（英文版）, 2023,34(8):118

Yang Liu, Teng-Fei Zhu, Zhi Luo, et al. First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction[J]. Nuclear Science and Techniques, 2023,34(8):118
First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction[J]. 核技术（英文版）, 2023,34(8):118 DOI： 10.1007/s41365-023-01258-4.

Yang Liu, Teng-Fei Zhu, Zhi Luo, et al. First-order primal-dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction[J]. Nuclear Science and Techniques, 2023,34(8):118 DOI： 10.1007/s41365-023-01258-4.

摘要

Abstract

Neutron computed tomography (NCT) is widely used as a noninvasive measurement technique in nuclear engineering, thermal hydraulics, and cultural heritage. The neutron source intensity of NCT is usually low and the scan time is long, resulting in a projection image containing severe noise. To reduce the scanning time and increase the image reconstruction quality, an effective reconstruction algorithm must be selected. In CT image reconstruction, the reconstruction algorithms used can be divided into three categories: analytical algorithms, iterative algorithms, and deep learning. Because the analytical algorithm requires complete projection data, it is not suitable for reconstruction in harsh environments, such as strong radiation, high temperature, and high pressure. Deep learning requires large amounts of data and complex models, which cannot be easily deployed, as well as has a high computational complexity and poor interpretability. Therefore, this paper proposes the OS-SART-PDTV iterative algorithm, which uses the ordered subset simultaneous algebraic reconstruction technique (OS-SART) algorithm to reconstruct the image and the first-order primal-dual algorithm to solve the total variation (PDTV), for sparse-view NCT three-dimensional reconstruction. The novel algorithm was compared with other algorithms (FBP, OS-SART-TV, OS-SART-AwTV, and OS-SART-FGPTV) by simulating the experimental data and actual neutron projection experiments. The reconstruction results demonstrate that the proposed algorithm outperforms the FBP, OS-SART-TV, OS-SART-AwTV, and OS-SART-FGPTV algorithms in terms of preserving edge structure, denoising, and suppressing artifacts.

关键词

Keywords

NCTFirst-order primal-dual algorithmOS-SARTTotal variationSparse-view

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