Paper
11 July 2019 Pathlength distribution of (sub)diffusively reflected light
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Abstract
We evaluate a method to obtain the pathlength distribution of detected photons from reflectance as a function of absorption coefficient through inverse Laplace transformation using curve fitting as a noise reduction technique. We numerically validate our method using Monte Carlo simulations and exact solutions of time-resolved and steady state diffuse reflectance. Knowledge of the path length distribution may be helpful in drafting models for sub-diffuse reflectance measurements such as Single Fiber Reflectance Spectroscopy, whereas moments of the pathlength distribution (mean and variance) may provide diagnostic information by themselves.
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Dirk J. Faber, Anouk L. Post, and Ton G. van Leeuwen "Pathlength distribution of (sub)diffusively reflected light", Proc. SPIE 11074, Diffuse Optical Spectroscopy and Imaging VII, 110742K (11 July 2019); https://doi.org/10.1117/12.2527903
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KEYWORDS
Monte Carlo methods

Absorption

Reflectivity

Photons

Diffusion

Data modeling

Scattering

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