Modelling spatially-resolved diffuse reflectance spectra of a multi-layered skin model by artificial neural networks
Sheng-Yang Tsui1, Chiao-Yi Wang2, Tsan-Hsueh Huang2
1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Abstract:
A robust modelling method was proposed to extract chromophore information in multi-layered skin tissue with spatially-resolved diffuse reflectance spectroscopy. Artificial neural network models trained with a pre-simulated database were first built to map geometric and optical parameters into diffuse reflectance spectra. Nine fitting parameters including chromophore concentrations and oxygen saturation were then determined by solving the inverse problem of fitting spectral measurements from three different parts of the skin. Compared to the Monte Carlo simulation accelerated by a graphics processing unit, the proposed modelling method not only reduced the computation time, but also achieved a better fitting performance.
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