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电子直线加速器辐射场优化的蒙特卡洛模拟
引用本文:赵洪斌,张新,包尚联,黄斐增,李泉凤.电子直线加速器辐射场优化的蒙特卡洛模拟[J].南京航空航天大学学报(英文版),2010,27(1):7-12.
作者姓名:赵洪斌  张新  包尚联  黄斐增  李泉凤
作者单位:1. 北京大学医学物理和工程北京市重点实验室,北京,100871,中国;北京医疗器械研究所研发部.北京,102200,中国
2. 北京大学医学物理和工程北京市重点实验室,北京,100871,中国
3. 北京大学医学物理和工程北京市重点实验室,北京,100871,中国;北京海思威科技有限公司研发部,北京,100084,中国
4. 清华大学理学院,北京,100084,中国
基金项目:Supported by the National Natural Science Foundation of China (60672104,10675013);;the Na-tional Basic Research Program of China (“973”Program)(2006CB705705);;the 10th Five-Year Plan of the Ministry of Science and Technology of China(2001BA706B-05);;the Joint Research Foundation of Beijing Municipal Commissionof Education~~
摘    要:提供了一种用于设计医用电子直线加速器(1inac)X射线均整过滤器的方法,并将其用于电子束辐射系统的优化过程之中。采用MonteCarlo模拟计算方法,提供了2个真实的国产医用电子直线加速器的辐射研究成果:BJ-20加速器的15MVX射线辐射系统和BJ-14加速器的12MeV电子柬辐射系统。使用传统方法对上述成果进行了验证。

关 键 词:直线加速器  蒙特卡洛模拟  辐射系统优化  均整滤波器设计

MONTE CARLO SIMULATION OF RADIATION FIELD OPTIMIZATION FOR MEDICAL LINAC
Zhao Hongbin,Zhang Xin,Bao Shanglian,Huang Feizeng,Li Quanfeng.MONTE CARLO SIMULATION OF RADIATION FIELD OPTIMIZATION FOR MEDICAL LINAC[J].Transactions of Nanjing University of Aeronautics & Astronautics,2010,27(1):7-12.
Authors:Zhao Hongbin    Zhang Xin  Bao Shanglian    Huang Feizeng  Li Quanfeng
Institution:1.Beijing City Key Lab of Medical Physics and Engineering/a>;Peking University/a>;Beijing/a>;100871/a>;P.R.China/a>;2.R & D Department/a>;Beijing Medical Equipment Institute/a>;102200/a>;3.R & D Department/a>;Beijing Healthware Sci & Tech Inc./a>;100084/a>;4.School of Sciences/a>;Tsinghua University/a>;P.R.China
Abstract:A method for designing an X-ray flatness filter for medical electron linac is developed.It is used in the optimization process in the electron beam radiation system.Monte Carlo simulation method is used and two examples of real radiation system optimization processes for China-made medical electron linac are provided:15 MV X-ray system of BJ-20 linac,and 12 MeV electron system of BJ-14.Results are verified by using the traditional method.
Keywords:linear accelerators  computer simulation and Monte Carlo methods  radiation system optimization  flatness filter design  
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