Sparse-view neutron CT reconstruction of irradiated fuel assembly using total variation minimization with Poisson statistics

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• 作者：Muhammad Abir ; Fahima Islam ; Daniel Wachs…
• 关键词：CT reconstruction ; Sparse ; view ; Total variation minimization ; Poisson statistics ; Irradiated fuel assembly
• 刊名：Journal of Radioanalytical and Nuclear Chemistry
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：307
• 期：3
• 页码：1967-1979
• 全文大小：4,046 KB
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• 作者单位：Muhammad Abir (1)
  Fahima Islam (2)
  Daniel Wachs (1)
  Hyoung-Koo Lee (2)
  
  1. Materials and Fuel Complex, Idaho National Laboratory, P.O. Box- 1625, Idaho Falls, ID, 83415-6188, USA
  2. Department of Mining and Nuclear Engineering, Missouri University of Science and Technology, 301 W. 14th St., Rolla, MO, 65409, USA
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Nuclear Chemistry
  Physical Chemistry
  Nuclear Physics, Heavy Ions and Hadrons
  Diagnostic Radiology
  Inorganic Chemistry
  
• 出版者：Akad茅miai Kiad贸, co-published with Springer Science+Business Media B.V., Formerly Kluwer Academic
• ISSN：1588-2780

文摘

We inspect the nuclear fuel assembly by demonstrating the potential use of sparse-view neutron computed tomography. The projection images of the fuel assembly were collected at the Idaho National Laboratory hot fuel examination facility using indirect foil-film transfer technique. The radiographs were digitized using a commercial film digitizer and registered spatially for reconstruction. Digitized data were reconstructed using simultaneous algebraic reconstruction technique (SART) with total variation minimization using a dual approach for numerical solution assuming the projection data are corrupted by Poisson noise. To validate and evaluate the performance of the algorithm, visual inspections, as well as quantitative evaluation studies using a computer simulation data and the experimental data of the fuel assembly were carried out. The proposed method provides better reconstruction for both simulated and experimental case in terms of artifact reduction, higher SNR, and better spatial resolution compared to the reconstruction yielded by filtered back projection and SART reconstruction.