东南大学学报（英文版）Issue(3)：311-314,4.DOI:10.3969/j.issn.1003-7985.2014.03.010
基于先验知识和遗传算法的直线加速器光子能谱重建
Reconstruction of the linac photon spectrum based on prior knowledge and the genetic algorithm
摘要
Abstract
In order to derive the linac photon spectrum accurately both the prior constrained model and the genetic algorithm GA are employed using the measured percentage depth dose PDD data and the Monte Carlo simulated monoenergetic PDDs where two steps are involved.First the spectrum is modeled as a prior analytical function with two parameters αand Ep optimized with the GA.Secondly the linac photon spectrum is modeled as a discretization constrained model optimized with the GA. The solved analytical function in the first step is used to generate initial solutions for the GA’s first run in this step.The method is applied to the Varian iX linear accelerator to derive the energy spectra of its 6 and 15 MV photon beams.The experimental results show that both the reconstructed spectrums and the derived PDDs with the proposed method are in good agreement with those calculated using the Monte Carlo simulation.关键词
光子能谱重建/先验知识/遗传算法/百分深度剂量/蒙特卡洛模拟Key words
reconstruction of the photon/spectrum prior knowledge genetic/algorithm GA/percent depth dose/PDD/Monte Carlo simulation分类
信息技术与安全科学引用本文复制引用
周正东,陈元华,王东东,余子丽..基于先验知识和遗传算法的直线加速器光子能谱重建[J].东南大学学报（英文版）,2014,(3):311-314,4.基金项目
Citation Zhou Zhengdong Chen Yuanhua Wang Dongdong et al． Reconstruction of the linac photon spectrum based on prior knowledge and the genetic algorithm J ．Journal of Southeast University English （）
