Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues

Manish Bhatt; Kaylan R. Ayyalasomayajula; Phaneendra  K. Yalavarthy

doi:10.1117/1.JBO.21.7.076012

20 July 2016 Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues

Manish Bhatt, Kaylan R. Ayyalasomayajula, Phaneendra K. Yalavarthy

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Journal of Biomedical Optics, Vol. 21, Issue 7, 076012 (July 2016). https://doi.org/10.1117/1.JBO.21.7.076012

Abstract

The attenuation of near-infrared (NIR) light intensity as it propagates in a turbid medium like biological tissue is described by modified the Beer–Lambert law (MBLL). The MBLL is generally used to quantify the changes in tissue chromophore concentrations for NIR spectroscopic data analysis. Even though MBLL is effective in terms of providing qualitative comparison, it suffers from its applicability across tissue types and tissue dimensions. In this work, we introduce Lambert-W function-based modeling for light propagation in biological tissues, which is a generalized version of the Beer–Lambert model. The proposed modeling provides parametrization of tissue properties, which includes two attenuation coefficients μ₀ and η. We validated our model against the Monte Carlo simulation, which is the gold standard for modeling NIR light propagation in biological tissue. We included numerous human and animal tissues to validate the proposed empirical model, including an inhomogeneous adult human head model. The proposed model, which has a closed form (analytical), is first of its kind in providing accurate modeling of NIR light propagation in biological tissues.

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Manish Bhatt, Kaylan R. Ayyalasomayajula, and Phaneendra K. Yalavarthy "Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues," Journal of Biomedical Optics 21(7), 076012 (20 July 2016). https://doi.org/10.1117/1.JBO.21.7.076012

Published: 20 July 2016

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