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Title: Prediction of tissue optical properties using the Monte Carlo modeling of photon transport in turbid media and integrating spheres

Abstract

Monte Carlo methods are an established technique for simulating light transport in biological tissue. Integrating spheres make experimental measurements of the reflectance and transmittance of a sample straightforward and inexpensive. This work presents an extension to existing Monte Carlo photon transport methods to simulate integrating sphere experiments. Crosstalk between spheres in dual-sphere experiments is accounted for in the method. Analytical models, previous works on Monte Carlo photon transport, and experimental measurements of a synthetic tissue phantom validate this method. We present two approaches for using this method to back-calculate the optical properties of samples. Experimental and simulation uncertainties are propagated through both methods. Both back-calculation methods find the optical properties of a sample accurately and precisely. Our model is implemented in standard Python 3 and CUDA C++ [J. Nickolls, I. Buck, M. Garland, and K. Skadron, ACM Queue 6 , 40 ( 2008 ) ] and is publicly available in Code 1.

Authors:
ORCiD logo; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1631213
Grant/Contract Number:  
112-000165
Resource Type:
Published Article
Journal Name:
OSA Continuum
Additional Journal Information:
Journal Name: OSA Continuum Journal Volume: 3 Journal Issue: 6; Journal ID: ISSN 2578-7519
Publisher:
Optical Society of America
Country of Publication:
United States
Language:
English

Citation Formats

Cook, Patrick D., Bixler, Joel N., Thomas, Robert J., and Early, Edward A. Prediction of tissue optical properties using the Monte Carlo modeling of photon transport in turbid media and integrating spheres. United States: N. p., 2020. Web. doi:10.1364/OSAC.377805.
Cook, Patrick D., Bixler, Joel N., Thomas, Robert J., & Early, Edward A. Prediction of tissue optical properties using the Monte Carlo modeling of photon transport in turbid media and integrating spheres. United States. https://doi.org/10.1364/OSAC.377805
Cook, Patrick D., Bixler, Joel N., Thomas, Robert J., and Early, Edward A. Fri . "Prediction of tissue optical properties using the Monte Carlo modeling of photon transport in turbid media and integrating spheres". United States. https://doi.org/10.1364/OSAC.377805.
@article{osti_1631213,
title = {Prediction of tissue optical properties using the Monte Carlo modeling of photon transport in turbid media and integrating spheres},
author = {Cook, Patrick D. and Bixler, Joel N. and Thomas, Robert J. and Early, Edward A.},
abstractNote = {Monte Carlo methods are an established technique for simulating light transport in biological tissue. Integrating spheres make experimental measurements of the reflectance and transmittance of a sample straightforward and inexpensive. This work presents an extension to existing Monte Carlo photon transport methods to simulate integrating sphere experiments. Crosstalk between spheres in dual-sphere experiments is accounted for in the method. Analytical models, previous works on Monte Carlo photon transport, and experimental measurements of a synthetic tissue phantom validate this method. We present two approaches for using this method to back-calculate the optical properties of samples. Experimental and simulation uncertainties are propagated through both methods. Both back-calculation methods find the optical properties of a sample accurately and precisely. Our model is implemented in standard Python 3 and CUDA C++ [J. Nickolls, I. Buck, M. Garland, and K. Skadron, ACM Queue 6 , 40 ( 2008 ) ] and is publicly available in Code 1.},
doi = {10.1364/OSAC.377805},
journal = {OSA Continuum},
number = 6,
volume = 3,
place = {United States},
year = {2020},
month = {5}
}

Journal Article:
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https://doi.org/10.1364/OSAC.377805

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