Journal
BIOMEDICAL OPTICS EXPRESS
Volume 9, Issue 4, Pages 1531-1544Publisher
OPTICAL SOC AMER
DOI: 10.1364/BOE.9.001531
Keywords
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Funding
- Ministry of Science and Technology, Taiwan (MOST) [105-2221-E-002-068-MY3]
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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. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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