Artificial neural network method for determining optical properties from double-integrating-spheres

• 作 者: 李晨曦 赵会娟 王秋殷 徐可欣
• 机 构: State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,College of
• 出 处: Chinese Optics Letters
• 发表日期: 2010年02期
• 关键词: spheres determining transmittance robustness integrating reflectance inverse BPN

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.

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 described 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 μ_a and scattering coefficient μ ’_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.