Abstract
As the γ-ray energy increases, a reconstructed image becomes noisy and blurred due to the penetration of the γ-ray through the coded mask. Therefore, the thickness of the coded mask was increased for high energy regions, resulting in severely decreased the performance of the detection efficiency due to self-collimation by the mask. In order to overcome the limitation, a modified uniformly redundant array γ-ray imaging system using dual anti-mask method was developed, and its performance was compared and evaluated in high-energy radiation region. In the dual anti-mask method, the two shadow images, including the subtraction of background events, can simultaneously contribute to the reconstructed image. Moreover, the reconstructed images using each shadow image were integrated using a hybrid update maximum likelihood expectation maximization (h-MLEM). Using the quantitative evaluation method, the performance of the dual anti-mask method was compared with the previously developed collimation methods. As the shadow image which was subtracted the background events leads to a higher-quality reconstructed image, the reconstructed image of the dual anti-mask method showed high performance among the three collimation methods. Finally, the quantitative evaluation method proves that the performance of the dual anti-mask method was better than that of the previously reconstruction methods.
Original language | English |
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Pages (from-to) | 2371-2376 |
Number of pages | 6 |
Journal | Nuclear Engineering and Technology |
Volume | 53 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2021 Jul |
Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety (KoFONS) using the financial resource granted by the Nuclear Safety and Security Commission (No. 1903006) and the National Research Foundation of Korea grant funded by the Korea government(MSIT) (No. 2020R1A2C1005924) of the Republic of Korea.
Funding Information:
This work was supported by the Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety (KoFONS) using the financial resource granted by the Nuclear Safety and Security Commission (No. 1903006 ) and the National Research Foundation of Korea grant funded by the Korea government(MSIT) (No. 2020R1A2C1005924 ) of the Republic of Korea.
Publisher Copyright:
© 2021
Keywords
- Dual anti-mask method
- Hybrid update maximum likelihood expectation maximization (h-MLEM)
ASJC Scopus subject areas
- Nuclear Energy and Engineering