Open Access
14 September 2018 Optical sampling depth in the spatial frequency domain
Carole K. Hayakawa, Kavon Karrobi, Vivian E. Pera, Darren M. Roblyer, Vasan Venugopalan
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Abstract

We present a Monte Carlo (MC) method to determine depth-dependent probability distributions of photon visitation and detection for optical reflectance measurements performed in the spatial frequency domain (SFD). These distributions are formed using an MC simulation for radiative transport that utilizes a photon packet weighting procedure consistent with the two-dimensional spatial Fourier transform of the radiative transport equation. This method enables the development of quantitative metrics for SFD optical sampling depth in layered tissue and its dependence on both tissue optical properties and spatial frequency. We validate the computed depth-dependent probability distributions using SFD measurements in a layered phantom system with a highly scattering top layer of variable thickness supported by a highly absorbing base layer. We utilize our method to establish the spatial frequency-dependent optical sampling depth for a number of tissue types and also provide a general tool to determine such depths for tissues of arbitrary optical properties.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Carole K. Hayakawa, Kavon Karrobi, Vivian E. Pera, Darren M. Roblyer, and Vasan Venugopalan "Optical sampling depth in the spatial frequency domain," Journal of Biomedical Optics 24(7), 071603 (14 September 2018). https://doi.org/10.1117/1.JBO.24.7.071603
Received: 18 February 2018; Accepted: 12 July 2018; Published: 14 September 2018
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CITATIONS
Cited by 36 scholarly publications.
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KEYWORDS
Tissue optics

Tissues

Spatial frequencies

Optical properties

Reflectivity

Skin

Monte Carlo methods

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