Paper
10 March 2015 Accuracy of experimental data and Monte Carlo simulation lookup table-based inverse models for assessment of turbid media optical properties with diffuse reflectance spectroscopy
Peter Naglič, Maksimilijan Bregar, Franjo Pernuš, Boštjan Likar, Miran Bürmen
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Abstract
Diffuse reflectance spectroscopy is a popular approach for non-invasive assessment of optical properties in turbid media. The acquired spectra are analyzed by various light propagation models or by purely empirical methods. In this study, we quantitatively asses the experimental data and Monte Carlo lookup table-based inverse models by extracting the optical properties from the diffuse reflectance spectra of two carefully prepared turbid phantom sets with exactly defined optical properties. The first turbid phantom set was used for the creation of the experimental data-based lookup table model and calibration of the Monte Carlo lookup table-based inverse model. The second phantom set was used for the evaluation and comparative assessment of the two lookup table-based inverse models. In addition, we investigate the possible sources of errors introduced by the inverse models and show that the lookup table-based models disregard important information regarding the medium scattering phase function.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Naglič, Maksimilijan Bregar, Franjo Pernuš, Boštjan Likar, and Miran Bürmen "Accuracy of experimental data and Monte Carlo simulation lookup table-based inverse models for assessment of turbid media optical properties with diffuse reflectance spectroscopy", Proc. SPIE 9333, Biomedical Applications of Light Scattering IX, 933310 (10 March 2015); https://doi.org/10.1117/12.2078257
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KEYWORDS
Monte Carlo methods

Diffuse reflectance spectroscopy

Scattering

Optical properties

Data modeling

Absorption

Fiber optics

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