A comparative study of analytical models of diffuse reflectance in homogeneous biological tissues: Gelatin based phantoms and Monte Carlo experiments.

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Abstract

Information about tissue oxygen saturation (𝑆𝑡𝑂2) and other related important phys-
iological parameters can be extracted from diffuse reflectance spectra measured
through non-contact imaging. Three analytical optical reflectance models for homo-
geneous, semi-infinite, tissue have been proposed (Modified Beer-Lambert, Jacques
1999, Yudovsky 2009) but these have not been directly compared for tissue param-
eter extraction purposes. We compare these analytical models using Monte Carlo
simulated diffuse reflectance spectra and controlled gelatin-based phantoms with
measured diffuse reflectance spectra and known ground truth composition param-
eters. The Yudovsky model performed best against Monte Carlo simulations and
measured spectra of tissue phantoms in terms of goodness of fit and parameter extrac-
tion accuracy followed closely by Jacques’ model. In this study, Yudovsky’s model
appeared most robust, however our results demonstrated that both Yudovsky and
Jacques models are suitable for modelling tissue that can be approximated as a sin-
gle, homogeneous, semi-infinite slab.
Original languageEnglish
JournalJournal of biophotonics
Publication statusSubmitted - 10 Dec 2023

Keywords

  • Biological models
  • Oxygen saturation
  • Monte Carlo Simulations
  • Imaging phantoms
  • Gelatin

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