Research Papers: Imaging

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

[+] Author Affiliations
Manish Bhatt, Phaneendra K. Yalavarthy

Indian Institute of Science, Medical Imaging Group, Department of Computational and Data Sciences, C V Raman Avenue, Bengaluru 560012, India

Kalyan R. Ayyalasomayajula

Uppsala University, Department of Information Technology, Uppsala 75105, Sweden

J. Biomed. Opt. 21(7), 076012 (Jul 20, 2016). doi:10.1117/1.JBO.21.7.076012
History: Received March 24, 2016; Accepted June 20, 2016
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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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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Manish Bhatt ; Kalyan R. Ayyalasomayajula and Phaneendra K. Yalavarthy
"Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues", J. Biomed. Opt. 21(7), 076012 (Jul 20, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.7.076012


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