Literature DB >> 30218504

Optical sampling depth in the spatial frequency domain.

Carole K Hayakawa1,2, Kavon Karrobi3, Vivian Pera3, Darren Roblyer3, Vasan Venugopalan1,2.   

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. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  Monte Carlo simulation; diffuse optical spectroscopy; diffuse optics; photon migration; spatial frequency domain

Mesh:

Year:  2019        PMID: 30218504      PMCID: PMC6675966          DOI: 10.1117/1.JBO.24.7.071603

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  32 in total

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8.  Optical property uncertainty estimates for spatial frequency domain imaging.

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  13 in total

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4.  Small separation frequency-domain near-infrared spectroscopy for the recovery of tissue optical properties at millimeter depths.

Authors:  Seung Yup Lee; Corey Zheng; Rowan Brothers; Erin M Buckley
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6.  Optical Property Mapping of Apples and the Relationship With Quality Properties.

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