基于实数遗传算法的混浊介质光学参数提取  

Determination of Optical Parameters of Turbid Media Based on Real Coded Genetic Algorithm

作　　者：李飞[1] 张元志[1] 王贻坤[1,2] 朱灵[1,2] 刘勇[1,2] 王安 

机构地区：[1]中国科学院安徽光学精密机械研究所,安徽合肥230031 [2]皖江新兴产业技术发展中心,安徽铜陵244000

出　　处：《光学学报》2013年第12期198-206,共9页Acta Optica Sinica

基　　金：中国科学院知识创新工程青年人才领域专项前沿项目(083RC11124)

摘　　要：混浊介质的光学参数提取在光动力学疗法及光学无创诊断中有着重要意义。提出了一种实数遗传算法,结合逆蒙特卡罗方法及图形处理单元加速技术,从蒙特卡罗模拟得到的介质表面漫反射光的空间分布中提取光学参数。设计了差值平方和适应值函数、随机竞争选择算子、带扩展半径的均匀随机交叉算子、均匀变异算子、冠军变异算子,保证了算法的收敛性和种群的多样性。在0≤μa≤100cm-1和0≤μs≤1000cm-1范围内μa和μs提取的平均相对误差分别为0.25%和0.58%,均方根误差(RMSE)分别为0.32cm-1和1.68cm-1,表明实数遗传算法提取混浊介质光学参数是可行和准确的。Determination of optical parameters of turbid media is quite useful in the photodynamic therapy and optical noninvasive diagnostics. A kind of real coded genetic algorithm incorporated with inverse Monte Carlo method and graphics processing unit based acceleration technology is proposed, which can determine optical parameters from the spatially resolved diffuse reflectance of turbid media by Monte Carlo simulation. Fitness function of accumulated square differences, random tournament selection operator, uniform random crossover operator with extended radius, uniform mutation operator, champion mutation operator are designed to guaranty the algorithm to converge with good population diversity. In the range 0≤μa≤100 cm-1 and 0≤μs≤1000 cm-1, the average relative errors are 0.25% and 0.58%, and the root mean-square errors （RMSEs） are 0.32 cm-1 and 1.68 cm-1 for the absorption coefficient and for the scattering coefficient, respectively, which means that this algorithm is feasible and accurate enough for determination of optical parameters of turbid media.

关 键 词：医用光学 实数遗传算法 漫反射 光学参数 蒙特卡罗模拟 

分 类 号：R318.51[医药卫生—生物医学工程]