2020Unpublished venueRequires access

Prediction of tissue optical properties using Monte Carlo modeling of photon transport in turbid media and integrating spheres (Conference Presentation)

Patrick D. Cook, Joel N. Bixler, Robert J. Thomas, Edward A. Early

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Abstract

We present an extension to existing Monte Carlo photon transport methods to simulate integrating sphere experiments. This method uses a Monte Carlo approach to simulate photon paths in tissue and an analytical expression for the probability of a photon in an integrating sphere being re-incident on the tissue. Analytical models, previous works on Monte Carlo photon transport, and measurements of a synthetic tissue phantom validate this method. We present two approaches 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.

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What this paper is about

We present an extension to existing Monte Carlo photon transport methods to simulate integrating sphere experiments. This method uses a Monte Carlo approach to simulate photon paths in tissue and an analytical expression for the probability of a photon in an integrating sphere being re-incident on the tissue. Analytical models, previous works on Monte Carlo photon transport, and measurements of a synthetic tissue phantom validate this method. We present two approaches 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.

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Available abstract

We present an extension to existing Monte Carlo photon transport methods to simulate integrating sphere experiments. This method uses a Monte Carlo approach to simulate photon paths in tissue and an analytical expression for the probability of a photon in an integrating sphere being re-incident on the tissue. Analytical models, previous works on Monte Carlo photon transport, and measurements of a synthetic tissue phantom validate this method. We present two approaches 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.

Key concepts: Monte Carlo method, Photon, Monte Carlo method for photon transport, Imaging phantom, Physics, Statistical physics, Integrating sphere, Photon transport in biological tissue

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Prediction of tissue optical properties using Monte Carlo modeling of photon transport in turbid media and integrating spheres (Conference Presentation) — Research Paper | ScholarLens