基于积分球测量的神经网络组织光学参数反构方法
摘要
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 a and scattering coefficient 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 the s reconstruction.