生物组织光学参数与热物性参数的相关性研究  

RESEARCH ON THE CORRELATION BETWEEN THERMOPHYSICAL PARAMETERS AND OPTICAL PARAMETERS OF ORGANISM

作　　者：张艳[1] 张于峰[1] 诸凯[2] 王如愿[2] 陈瑞球[2] 田金颖[2] 

机构地区：[1]天津大学环境工程学院,天津300072 [2]天津商学院机械工程学院,天津300134

出　　处：《工程热物理学报》2007年第2期295-297,共3页Journal of Engineering Thermophysics

基　　金：国家自然科学基金(No.54076067)

摘　　要：基于组织光学和人工神经网络理论,提出了一种全新的确定生物体热物性参数的方法．利用积分球系统测量介质组织光学特性参数,以该特性参数作为人工神经网络输入变量,以热物性参数为目标变量,利用神经网络的自学习系统,最终建立光学特性参数与热物性参数间的非线性映射—黑箱模型。为验证模型,测量了多种热物性参数已知物质的光学特性参数,然后由黑箱模型得到热物性参数计算值,计算值和已知真实值的相对误差均在5%以内．该方法可用于测量生物体的各种热物性参数。Based on the theories of tissue optics and artificial neural network, a novel method of measuring thermophysical parameters was brought forward. A nonlinear mapping-black-box model-was established by self-study of the artificial neural network whose input variable were optical parameters which were measured by the system of double integrating spheres and whose target variable were thermophysical parameters. This model had been used to calculate the thermophysical parameters of some materials based on their measured optical variables. Comparison between the calculated and accessible thermophysical parameters from literatures, the maximum relative error was 5%. In principle, this model not only could be used to measure these thermophysical parameters, but also developed a new means for the measurement of parameters in other domains.

关 键 词：热物性参数 组织光学 人工神经网络 

分 类 号：TK123[动力工程及工程热物理—工程热物理]