Chinese Optics Letters, 2010, 8 (2): 173, Published Online: Mar. 5, 2010
Artificial neural network method for determining optical properties from double-integrating-spheres measurements Download: 637次
组织光学 双积分球 人工神经网络 反构算法 光学参数 120.3150 Integrating spheres 300.1030 Absorption 290.5820 Scattering measurements 290.7050 Turbid media
Abstract
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 coefficient \mu a and scattering coefficient \mu′ s reconstruction are less than 0.01 cm<sup>-1</sup> and 0.02 cm<sup>-1</sup>, 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 the \mu′ s reconstruction.
Chenxi Li, Huijuan Zhao, Qiuyin Wang, Kexin Xu. Artificial neural network method for determining optical properties from double-integrating-spheres measurements[J]. Chinese Optics Letters, 2010, 8(2): 173.