Inverse Monte Carlo method in a multilayered tissue model for diffuse reflectance spectroscopy

Ingemar Fredriksson; Marcus Larsson; Tomas Strömberg

doi:10.1117/1.JBO.17.4.047004

19 April 2012 Inverse Monte Carlo method in a multilayered tissue model for diffuse reflectance spectroscopy

Ingemar Fredriksson, Marcus Larsson, Tomas Strömberg

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Journal of Biomedical Optics, Vol. 17, Issue 4, 047004 (April 2012). https://doi.org/10.1117/1.JBO.17.4.047004

Abstract

Model based data analysis of diffuse reflectance spectroscopy data enables the estimation of optical and structural tissue parameters. The aim of this study was to present an inverse Monte Carlo method based on spectra from two source-detector distances (0.4 and 1.2 mm), using a multilayered tissue model. The tissue model variables include geometrical properties, light scattering properties, tissue chromophores such as melanin and hemoglobin, oxygen saturation and average vessel diameter. The method utilizes a small set of presimulated Monte Carlo data for combinations of different levels of epidermal thickness and tissue scattering. The path length distributions in the different layers are stored and the effect of the other parameters is added in the post-processing. The accuracy of the method was evaluated using Monte Carlo simulations of tissue-like models containing discrete blood vessels, evaluating blood tissue fraction and oxygenation. It was also compared to a homogeneous model. The multilayer model performed better than the homogeneous model and all tissue parameters significantly improved spectral fitting. Recorded in vivo spectra were fitted well at both distances, which we previously found was not possible with a homogeneous model. No absolute intensity calibration is needed and the algorithm is fast enough for real-time processing.

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Ingemar Fredriksson, Marcus Larsson, and Tomas Strömberg "Inverse Monte Carlo method in a multilayered tissue model for diffuse reflectance spectroscopy," Journal of Biomedical Optics 17(4), 047004 (19 April 2012). https://doi.org/10.1117/1.JBO.17.4.047004

Published: 19 April 2012

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