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.
피인용 0
초록·키워드
We designed a detector that distinguishes between four layers at different interaction depths, using scintillation pixels of different sizes for each layer, and applying arrays of different sizes. The lowest layer has the largest array, and the size of the array is designed to decrease by one scintillation pixel when proceeding from the layer below to the layer above, such that the location of the scintillation pixels in each layer is misaligned. To evaluate the depth of interaction layer discrimination of the designed detector, a flood image was obtained by generating gamma-ray events at all scintillation pixels. In addition, a light guide was used to prevent the images of the scintillation pixels from overlapping at the corner, which may occur due to the use of small scintillation pixels. After obtaining the flood image by applying various light guide thicknesses, the degree of separation of the scintillation pixel image formed at the corner was evaluated. The application of a light guide with a thickness of 1 mm was evaluated to provide the highest degree of separation, which means that the thickness of the light guide capable of obtaining the best image was 1 mm. The flood image confirmed that the scintillation pixels of all layers appeared separated at the light guide thickness of 1 mm, and as a result thereof, it was confirmed that it could be used as a four-layer scintillation detector for measuring the depth of interaction in the detector. The application of this detector to positron emission tomography for small animals is considered capable of solving the deterioration in spatial resolution that may occur outside the field of view.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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UCI(KEPA) : I410-151-25-02-092112974
