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

作者: Muhammad Abir , Fahima Islam , Daniel Wachs , Hyoung-Koo Lee

DOI: 10.1007/S10967-015-4542-2

关键词: AlgorithmArtifact (error)Projection (set theory)Image qualityImage resolutionComputer scienceRadon transformSimultaneous Algebraic Reconstruction TechniqueIterative reconstructionShot noise

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

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