东南大学学报（自然科学版）2012，Vol.42Issue(6)：1085-1088,4.DOI:10.3969/j.issn.1001-0505.2012.06.012
基于遗传算法的医用直线加速器光子能谱重建方法
Reconstruction method of photon spectra of medical linear accelerator based on genetic algorithm
摘要
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.关键词
光子能谱/遗传算法/百分深度剂量/蒙特卡罗模拟Key words
photon spectra/ genetic algorithm/ percent depth dose/ Monte Carlo simulation分类
医药卫生引用本文复制引用
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):1085-1088,4.基金项目
国家自然科学基金资助项目(20975052). （20975052）
