Open Access
18 June 2013 Phantoms for diffuse optical imaging based on totally absorbing objects, part 1: basic concepts
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Abstract
The design of inhomogeneous phantoms for diffuse optical imaging purposes using totally absorbing objects embedded in a diffusive medium is proposed and validated. From time-resolved and continuous-wave Monte Carlo simulations, it is shown that a given or desired perturbation strength caused by a realistic absorbing inhomogeneity of a certain absorption and volume can be approximately mimicked by a small totally absorbing object of a so-called equivalent black volume (equivalence relation). This concept can be useful in two ways. First, it can be exploited to design realistic inhomogeneous phantoms with different perturbation strengths simply using a set of black objects with different volumes. Further, it permits one to grade physiological or pathological changes on a reproducible scale of perturbation strengths given as equivalent black volumes, thus facilitating the performance assessment of clinical instruments. A set of plots and interpolating functions to derive the equivalent black volume corresponding to a given absorption change is provided. The application of the equivalent black volume concept for grading different optical perturbations is demonstrated for some examples.
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.
Fabrizio Martelli, Antonio Pifferi, Davide Contini, Lorenzo Spinelli, Alessandro Torricelli, Heidrun Wabnitz, Rainer Macdonald, Angelo Sassaroli, and Giovanni Zaccanti "Phantoms for diffuse optical imaging based on totally absorbing objects, part 1: basic concepts," Journal of Biomedical Optics 18(6), 066014 (18 June 2013). https://doi.org/10.1117/1.JBO.18.6.066014
Published: 18 June 2013
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Cited by 41 scholarly publications.
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KEYWORDS
Absorption

Diffuse optical imaging

Monte Carlo methods

Sensors

Optical spheres

Scattering

Brain

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