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Monte Carlo evaluation of a LYSO-based Compton camera using two origin ensemble algorithms with resolution recovery
Medical Physics ( IF 3.8 ) Pub Date : 2021-07-14 , DOI: 10.1002/mp.15092
Hsuan-Ming Huang

Due to the lack of depth-of-interaction information, a Compton camera made of lutetium-yttrium orthosilicate (LYSO) crystals suffers from poor spatial resolution, which may lead to an unreliable range verification in proton therapy. The aim of this study is to evaluate the performance of a LYSO-based Compton camera using the origin ensemble algorithm with resolution recovery (OE-RR). We also proposed a regularized version of OE-RR called ROE-RR.

中文翻译:

使用两种分辨率恢复的原点集成算法对基于 LYSO 的康普顿相机进行蒙特卡罗评估

由于缺乏交互深度信息,由正硅酸钇 (LYSO) 晶体制成的康普顿相机的空间分辨率较差,这可能导致质子治疗中的范围验证不可靠。本研究的目的是使用分辨率恢复的原点集成算法 (OE-RR) 评估基于 LYSO 的康普顿相机的性能。我们还提出了 OE-RR 的正则化版本,称为 ROE-RR。
更新日期:2021-09-21
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