[1]周正东,陈元华,刘娟.基于遗传算法的医用直线加速器光子能谱重建方法[J].东南大学学报(自然科学版),2012,42(6):1085-1088.[doi:10.3969/j.issn.1001-0505.2012.06.012]
 Zhou Zhengdong,Chen Yuanhua,Liu Juan.Reconstruction method of photon spectra of medical linear accelerator based on genetic algorithm[J].Journal of Southeast University (Natural Science Edition),2012,42(6):1085-1088.[doi:10.3969/j.issn.1001-0505.2012.06.012]
点击复制

基于遗传算法的医用直线加速器光子能谱重建方法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第6期
页码:
1085-1088
栏目:
生物医学工程
出版日期:
2012-11-20

文章信息/Info

Title:
Reconstruction method of photon spectra of medical linear accelerator based on genetic algorithm
作者:
周正东 陈元华 刘娟
南京航空航天大学核科学与工程系,南京 210016
Author(s):
Zhou Zhengdong Chen Yuanhua Liu Juan
Department of Nuclear Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
关键词:
光子能谱 遗传算法 百分深度剂量 蒙特卡罗模拟
Keywords:
photon spectra genetic algorithm percent depth dose Monte Carlo simulation
分类号:
R318;TP391
DOI:
10.3969/j.issn.1001-0505.2012.06.012
摘要:
基于光子束中轴百分深度剂量(PDD),探讨研究了基于遗传算法的医用直线加速器光能能谱精确重建方法.首先,利用蒙特卡洛模拟仿真医用直线加速器治疗头,获得6 MeV光子束的模拟能谱以及单能光子中轴PDD数据; 然后,根据测量得到的中轴PDD数据以及模拟得到的单能光子中轴PDD数据,运用遗传算法优化求解重建光子能谱.实验结果表明:重建能谱与蒙特卡洛模拟得到的能谱具有良好的一致性,平均相对误差为3.03%; 根据重建能谱计算得到的中轴PDD数据与测量得到的中轴PDD数据之间的平均相对误差为1.0%,与蒙特卡洛模拟得到的中轴PDD数据之间的平均相对误差为2.0%.由此可见,利用所提方法进行光子束能谱重建可靠有效.
Abstract:
A method for precise reconstruction of photon spectra of medical linear accelerator based on genetic algorithm was investigated according to percentage depth dose(PDD)data of photon beam central axis. First, the spectra of 6 MeV photon beams and PDD data of mono-energetic photon beams were calculated by Monte Carlo simulation of accelerator treatment head. Then, the genetic algorithm was employed to reconstruct photon spectra according to both measured and simulated PDD data. The experimental results show that the reconstructed spectra is in good agreement with that calculated by Monte Carlo simulation, the average relative error being 3.03%. The derived PDD data calculated from the reconstructed spectra agree well with both measured and Monte Carlo simulated PDD data, and the average relative errors are 1.0% and 2.0%, respectively. Therefore, the proposed method is reliable and effective for photon spectra reconstruction.

参考文献/References:

[1] International Commission on Radiation Units and Measurements.Determination of absorbed dose in patient irradiated by beams of X or gamma rays in radiotherapy procedures,ICRU Report No.24[R].Washington DC:ICRU,1976.
[2] International Commission on Radiation Units and Measurements.Use of computers in external beam radiotherapy procedure with high-energy photons and electrons,ICRU Report No.42[R].Washington DC:ICRU,1987.
[3] Deasy J O,Almond P R.The spectral dependence of electron central-axis depth-dose curves [J].Med Phys,1994,21(9):1369-1376.
[4] Luo Z,Jette D.On the possibility of determining an effective energy spectrum of clinical electron beams from percentage depth dose(PDD)data of broad beams [J].Phys Med Biol,1999,44(8):177-182.
[5] Faddegon B A,Blevis I.Electron spectra derived from depth dose distributions [J].Med Phys,2000,27(3):514-526.
[6] Deng J,Jiang S B,Pawlicki T,et al.Derivation of electron and photon energy spectra from electron beam central axis depth dose curves[J].Phys Med Biol,2001,46(5):1429-1449.
[7] 张松柏,黄斐增,韩树奎,等.6MV医用电子直线加速器轫致辐射谱研究[J].原子能科学技术,2003,37(3):206-210.
  Zhang Songbai,Huang Feizeng,Han Shukui,et al.Investigation of bremsstrahlung spectra of 6MV medical linear accelerator[J].Atomic Energy Science and Technology,2003,37(3):206-210.(in Chinese)
[8] 姚杏红,黄斐增,吴昊,等.利用深度剂量数据重建放射治疗X射线能谱[J].原子能科学技术,2010,44(4):464-468.
  Yao Xinghong,Huang Feizeng,Wu Hao,et al.Reconstruction of X-ray spectra for radiation therapy[J].Atomic Energy Science and Technology,2010,44(4):464-468.(in Chinese)
[9] 王妙琪.利用蒙地卡罗法模拟西门子医用直线加速器输出之光子射束特性[D].台北:阳明大学生物医学影像暨放射科学系,2009.
[10] Ionizing Radiation Standards National Research Council of Canada.DOSXYZnrc users manual,NRCC Report No.PIRS-794 rev B[R].Ottawa,Canada:NRCC,2009.

相似文献/References:

[1]涂青,徐赵东,彭军.隔减震结构中黏弹性阻尼装置的遗传算法优化分析[J].东南大学学报(自然科学版),2009,39(1):73.[doi:10.3969/j.issn.1001-0505.2009.01.014]
 Tu Qing,Xu Zhaodong,Peng Jun.Parametric optimization of viscoelastic device in earthquake isolation and mitigation of structures[J].Journal of Southeast University (Natural Science Edition),2009,39(6):73.[doi:10.3969/j.issn.1001-0505.2009.01.014]
[2]黄裕洋,金远平.一种基于余弦因子改进的混合聚类算法[J].东南大学学报(自然科学版),2010,40(3):496.[doi:10.3969/j.issn.1001-0505.2010.03.012]
 Huang Yuyang,Jin Yuanping.Hybrid clustering algorithm based on cosine factor improvement[J].Journal of Southeast University (Natural Science Edition),2010,40(6):496.[doi:10.3969/j.issn.1001-0505.2010.03.012]
[3]周建新,司风琪,仇晓智,等.基于SVR和GA的锅炉运行氧量基准值的优化确定[J].东南大学学报(自然科学版),2008,38(6):1061.[doi:10.3969/j.issn.1001-0505.2008.06.024]
 Zhou Jianxin,Si Fengqi,Qiu Xiaozhi,et al.Optimization of boiler operation oxygen content based on support vector regression and genetic algorithms[J].Journal of Southeast University (Natural Science Edition),2008,38(6):1061.[doi:10.3969/j.issn.1001-0505.2008.06.024]
[4]曹源,汪凤泉,桂益俊.基于遗传算法的冲击信号拟合[J].东南大学学报(自然科学版),2007,37(2):320.[doi:10.3969/j.issn.1001-0505.2007.02.027]
 Cao Yuan,Wang Fengquan,Gui Yijun.Research of shock signal curve fit based on genetic algorithm[J].Journal of Southeast University (Natural Science Edition),2007,37(6):320.[doi:10.3969/j.issn.1001-0505.2007.02.027]
[5]刘宁,刘怀,费树岷.网络控制系统中任务与信息的优化调度[J].东南大学学报(自然科学版),2007,37(4):605.[doi:10.3969/j.issn.1001-0505.2007.04.012]
 Liu Ning,Liu Huai,Fei Shumin.Optimal task and message scheduling for networked control systems[J].Journal of Southeast University (Natural Science Edition),2007,37(6):605.[doi:10.3969/j.issn.1001-0505.2007.04.012]
[6]洪伟.计算电磁学研究进展[J].东南大学学报(自然科学版),2002,32(3):335.[doi:10.3969/j.issn.1001-0505.2002.03.006]
 Hong Wei.Progress in computational electromagnetics[J].Journal of Southeast University (Natural Science Edition),2002,32(6):335.[doi:10.3969/j.issn.1001-0505.2002.03.006]
[7]叶在福,单渊达.计及非定量不确定性的多种群遗传电网扩展规划[J].东南大学学报(自然科学版),2000,30(2):116.[doi:10.3969/j.issn.1001-0505.2000.02.025]
 Ye Zaifu,Shan Yuanda.A New Transmission Network Expansion Planning Using Improved Multiple-Population Genetic Algorithm[J].Journal of Southeast University (Natural Science Edition),2000,30(6):116.[doi:10.3969/j.issn.1001-0505.2000.02.025]
[8]高山,单渊达.遗传算法在机组启停中的应用及改进[J].东南大学学报(自然科学版),2000,30(3):51.[doi:10.3969/j.issn.1001-0505.2000.03.011]
 Gao Shan,Shan Yuanda.Advanced Genetic Algorithm Approach to Unit Commitment[J].Journal of Southeast University (Natural Science Edition),2000,30(6):51.[doi:10.3969/j.issn.1001-0505.2000.03.011]
[9]谈烨,仲伟俊,徐南荣.基于遗传算法的一类资源分配两层规划问题求解[J].东南大学学报(自然科学版),1999,29(4):12.[doi:10.3969/j.issn.1001-0505.1999.04.003]
 Tan Ye,Zhong Weijun,Xu Nanrong.A Genetic Algorithm Based Method for a Class of Resource Allocation Bilevel Programming Problems[J].Journal of Southeast University (Natural Science Edition),1999,29(6):12.[doi:10.3969/j.issn.1001-0505.1999.04.003]
[10]徐欧,杨非,孙忠良.亚毫米波对角喇叭天线的GA优化设计及其性能测试[J].东南大学学报(自然科学版),2010,40(6):1134.[doi:10.3969/j.issn.1001-0505.2010.06.002]
 Xu Ou,Yang Fei,Sun Zhongliang.Genetic algorithm design and measurement of sub-millimeter wave diagonal horn[J].Journal of Southeast University (Natural Science Edition),2010,40(6):1134.[doi:10.3969/j.issn.1001-0505.2010.06.002]

备注/Memo

备注/Memo:
作者简介: 周正东(1969—),男,博士,副教授,zzd_msc@nuaa.edu.cn.
基金项目: 国家自然科学基金资助项目(20975052).
引文格式: 周正东,陈元华,刘娟.基于遗传算法的医用直线加速器光子能谱重建方法[J].东南大学学报:自然科学版,2012,42(6):1085-1088. [doi:10.3969/j.issn.1001-0505.2012.06.012]
更新日期/Last Update: 2012-11-20