基于f可调δ-P1近似的生物组织光学特性参数的解析  

Determination of the optical properties in biological tissues based on the adjustable f δ-P1 approximation

作　　者：柴成钢[1] 刘泉[1] 

机构地区：[1]华中农业大学理学院,武汉430070

出　　处：《华中师范大学学报（自然科学版）》2010年第2期232-235,共4页Journal of Central China Normal University：Natural Sciences

基　　金：国家自然科学基金理论物理专项基金项目(10847130)

摘　　要：呈现一种基于可调f参数的δ-P1近似理论,结合自适应遗传算法和非线性曲线拟合,获得生物组织光学特性参数(吸收系数、散射系数和各向异性因子)的多步非线性优化算法;其中关键步骤是第一步采用自适应遗传算法精确地确定自由程,而优化用到数据来源于蒙德卡洛模拟(MC).结果表明,结合可调f参数的δ-P1近似理论,采用以自适应遗传为主的算法可以大大减少生物组织光学特性参数的估计误差.We develop a multi-stage nonlinear optimization algorithm in which the radiative transport estimates provided by adjustable fδ-P1 approximation to determine the optical absorption, scattering, and asymmetry coefficients in highly scattering turbid media from the Monte Carlo simulations. The key step of a multi-stage nonlinear optimization algorithm is to accurately recover free path length by only running the adaptive genetic algorithm one time because of similarity relation. The results show that the ad justable fδ-P1 approximation in conjunction with the adaptive genetic algorithm have led to significant reductions in optical property estimation error.

关 键 词：自适应遗传算法(AGA) 可调f参数的δ-P1近似理论 生物组织光学特性参数 非线性优化 

分 类 号：Q632[生物学—生物物理学]