Poster + Paper
12 March 2024 A comparative study of analytical tissue reflectance models using simulated and experimental data
Author Affiliations +
Conference Poster
Abstract
Three major one layer tissue models (Modified Beer-Lambert,1 Jacques 1999,2 Pilon 20093) are compared to Monte Carlo simulated diffuse reflectance spectra and measured tissue phantom spectra with known ground truth. These ground truth values were obtained using inverse adding doubling and absorbance measurements and validated using a phantom with known ground truth (BioPixs). Finally, a two layer model (Pilon 2009) was evaluated against Monte Carlo simulations and used to analyse skin reflectance data (NIST4). These models were compared on goodness of fit and parameter extraction accuracy. It was found that the Pilon 2009 one layer model performed best against Monte Carlo simulations and phantom measurements, however the Pilon 2009 two layer model had significant regions of inaccuracy. These inaccurate regions correspond to circumstances where the epidermal layer has significant thickness and melanin content, while the dermal layer has low fraction of blood meaning that the haemoglobin impact is “masked”. The extraction of parameters from the NIST skin dataset using this model returns values that do not correspond well to literature values suggesting that many of these spectra lie within an inaccurate region or indicates oversimplification of the tissue modelling. This suggests both Pilon 2009 and Jacques 1999 are suitable for modelling tissue that can be approximated as a single, homogeneous, semi-infinite slab, however the Pilon 2009 two layer model is not yet effective when encountering empirical data.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Anisha Bahl, Silvere Segaud, Yijing Xie, Jonathan Shapey, Mads S. Bergholt, and Tom Vercauteren "A comparative study of analytical tissue reflectance models using simulated and experimental data", Proc. SPIE 12856, Biomedical Applications of Light Scattering XIV, 1285608 (12 March 2024); https://doi.org/10.1117/12.3001853
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KEYWORDS
Data modeling

Monte Carlo methods

Analytic models

Tissues

Reflectivity

Diffuse reflectance spectroscopy

Blood

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