Paper
4 March 2014 Combining the diffusion approximation and Monte Carlo modeling in analysis of diffuse reflectance spectra from human skin
Peter Naglič, Luka Vidovič, Matija Milanič, Lise L. Randeberg, Boris Majaron
Author Affiliations +
Proceedings Volume 8926, Photonic Therapeutics and Diagnostics X; 89260U (2014) https://doi.org/10.1117/12.2035747
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
Light propagation in highly scattering biological tissues is often treated in the so-called diffusion approximation (DA). Although the analytical solutions derived within the DA are known to be inaccurate near tissue boundaries and absorbing layers, their use in quantitative analysis of diffuse reflectance spectra (DRS) is quite common. We analyze the artifacts in assessed tissue properties which occur in fitting of numerically simulated DRS with the DA solutions for a three-layer skin model. In addition, we introduce an original procedure which significantly improves the accuracy of such an inverse analysis of DRS. This procedure involves a single comparison run of a Monte Carlo (MC) numerical model, yet avoids the need to implement and run an inverse MC. This approach is tested also in analysis of experimental DRS from human skin.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Naglič, Luka Vidovič, Matija Milanič, Lise L. Randeberg, and Boris Majaron "Combining the diffusion approximation and Monte Carlo modeling in analysis of diffuse reflectance spectra from human skin", Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 89260U (4 March 2014); https://doi.org/10.1117/12.2035747
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Cited by 2 scholarly publications.
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KEYWORDS
Skin

Monte Carlo methods

Diffuse reflectance spectroscopy

Tissues

Blood

Scattering

Diffusion

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