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<正>Accurate measurement of the optical properties of biological tissue is very important for optical diagnosis and therapeutics.An artificial neural network(ANN)-based inverse reconstruction method is introduced to determine the optical properties of turbid media,which is based on the reflectance(R) and transmittance (T) of a thin sample measured by a double-integrating-spheres system.The accuracy and robustness of the method has been validated,and the results show that the root mean square errors(RMSEs) of the absorption coefficientμ_a and scattering coefficientμ'_s reconstruction are less than 0.01 cm~(-1) and 0.02 cm~(-1),respectively.The algorithm is not only very accurate in the case of a lower albedo(~0.33),but also very robust to the noise of R and T especially for theμ'_s reconstruction. 相似文献
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基于双积分球和锁相放大测量的近红外多波长光学参量测量系统的研究 总被引:1,自引:0,他引:1
介绍了一种基于近红外LD光源及锁相检测技术的双积分球组织光学参量测量系统,波长范围为1 300 ~1 600 nm,正弦电调制光信号,光开关切换不同波长.提出了积分球系统改进措施,测量了散射/吸收混合溶液在1 310 nm下的光学参量,结果显示,约化散射系数和吸收系数的测量相对偏差分别<5%和10%. 相似文献
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