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논문 기본 정보

자료유형
학술저널
저자정보
Rui Zhang (Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautic) Xiaobin Tang (Nanjing University of Aeronautics and Astronautics) Pin Gong (Department of Nuclear Science and Technology Nanjing University of Aeronautics and Astronautics) Peng Wang (Nanjing University of Science and Technology) Cheng zhou (Jiangsu Nuclear and Radiation Safety Supervision and Management Center) Xiaoxiang Zhu (Jiangsu Nuclear and Radiation Safety Supervision and Management Center) Dajian Liang (a Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics) Zeyu Wang (Department of Nuclear Science and Technology Nanjing University of Aeronautics and Astronautics)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제52권 제10호
발행연도
2020.10
수록면
2,250 - 2,261 (12page)
DOI
https://doi.org/10.1016/j.net.2020.03.024

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Accurate localization of radioactive materials is crucial in homeland security and radiological emergencies. Coded-aperture gamma camera is an interesting solution for such applications and can be developed into portable real-time imaging devices. However, traditional reconstruction methods cannot effectively deal with signal-independent noise, thereby hindering low-noise real-time imaging. In this study, a novel reconstruction method with excellent noise-suppression capability based on a multi-layer perceptron (MLP) is proposed. A coded-aperture gamma camera based on pixel detector and coded-aperture mask was constructed, and the process of radioactive source imaging was simulated. Results showed that the MLP method performs better in noise suppression than the traditional correlation analysis method. When the Co-57 source with an activity of 1 MBq was at 289 different positions within the field of view which correspond to 289 different pixels in the reconstructed image, the average contrast-to-noise ratio (CNR) obtained by the MLP method was 21.82, whereas that obtained by the correlation analysis method was 5.85. The variance in CNR of the MLP method is larger than that of correlation analysis, which means the MLP method has some instability in certain conditions.

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