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GEANT4 simulation study of over-response phenomenon of fiber x-ray sensor
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作者 张彬 谢天赐 +7 位作者 秦壮 李昊鹏 李松 赵文辉 陈子印 徐军 Elfed Lewis 孙伟民 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第4期633-639,共7页
The purpose of this article is to explore the cause of the over-response phenomenon of fiber x-ray sensor.The sensor is based on a length of PMMA fiber,whose end is filled with the scintillation material Gd_(2)O_(2)S:... The purpose of this article is to explore the cause of the over-response phenomenon of fiber x-ray sensor.The sensor is based on a length of PMMA fiber,whose end is filled with the scintillation material Gd_(2)O_(2)S:Tb.The Monte Carlo simulation software GEANT4 uses the phase space file provided by the International Atomic Energy Agency(IAEA),by irradiating the fiber x-ray sensor in the water phantom,counting the fluorescence signal of the optical fiber x-ray sensor after propagation through the fiber.In addition,the number of Cerenkov photons propagating through the fiber is also counted.Comparing this article with previous research,we believe that one of the reasons for the over-response of the fiber x-ray sensor is the non-linear response of the deposition energy of the scintillator to the fluorescence.By establishing a region of interest and counting the x-rays in this region,the simulation results show that the counted number of x-rays that may affect the fiber x-ray sensor is the biggest in the area of interest at a water depth of 5 cm.This result is close to the maximum dose point of the experimental and simulated percentage depth dose(PDD) curve of fiber x-ray sensor.Therefore,the second reason of the over-response phenomenon is believed to be fact that the inorganic materials such as Gd_(2)O_(2)S:Tb have larger effective atomic numbers,so the fiber x-ray sensors will cause more collisions with x-ray in a low energy region of 0.1 MeV-1.5 MeV. 展开更多
关键词 fiber x-ray sensors over-response percentage depth dose(PDD) Monte Carlo(MC)simulation
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基于模拟退火法的医用电子加速器6MV X射线能谱重建 被引量:4
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作者 刘娟 周正东 +1 位作者 陈元华 王东东 《中国生物医学工程学报》 CAS CSCD 北大核心 2013年第4期385-389,共5页
根据测量的中轴百分深度剂量(PDD)以及Monte-Carlo模拟的单能光子PDD,研究基于模拟退火(SA)算法重建医用电子加速器6MV X射线能谱的方法。在优化过程中,选择60个能量间隔,对应不同的相对权重,选择目标函数为重建PDD(即各相对权重与Monte... 根据测量的中轴百分深度剂量(PDD)以及Monte-Carlo模拟的单能光子PDD,研究基于模拟退火(SA)算法重建医用电子加速器6MV X射线能谱的方法。在优化过程中,选择60个能量间隔,对应不同的相对权重,选择目标函数为重建PDD(即各相对权重与Monte-Carlo模拟单能光子PDD的乘积)与实测PDD之间的相关系数,运用模拟退火进行优化得到的最优解就是加速器的能谱。为了验证算法的有效性,对加速器治疗头进行Monte-Carlo模拟,得到从治疗头出射的6 MV光子能谱。实验结果表明,计算能谱与Monte-Carlo模拟能谱在能谱形状、峰值能量方面一致;同时,根据重建能谱获得的PDD与实测PDD保持高度一致,均方根误差为1.56×10-4。上述实验结果表明,基于模拟退火算法重建光子能谱有效可靠。 展开更多
关键词 模拟退火 MONTE-CARLO模拟 X射线能谱 百分深度剂量
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