인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.7
- 수록면
- 2,371 - 2,376 (6page)
- DOI
- https://doi.org/10.1016/j.net.2021.01.027
이용수
초록· 키워드
As the g-ray energy increases, a reconstructed image becomes noisy and blurred due to the penetrationof the g-ray through the coded mask. Therefore, the thickness of the coded mask was increased for highenergy regions, resulting in severely decreased the performance of the detection efficiency due to selfcollimationby the mask. In order to overcome the limitation, a modified uniformly redundant array grayimaging system using dual anti-mask method was developed, and its performance was comparedand 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 reconstructedimage. Moreover, the reconstructed images using each shadow image were integrated using a hybridupdate maximum likelihood expectation maximization (h-MLEM). Using the quantitative evaluationmethod, the performance of the dual anti-mask method was compared with the previously developedcollimation methods. As the shadow image which was subtracted the background events leads to ahigher-quality reconstructed image, the reconstructed image of the dual anti-mask method showed highperformance among the three collimation methods. Finally, the quantitative evaluation method provesthat the performance of the dual anti-mask method was better than that of the previously reconstructionmethods
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