2016
DOI: 10.1364/boe.7.003784
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Time resolved diffuse optical spectroscopy with geometrically accurate models for bulk parameter recovery

Abstract: Abstract.A novel straightforward, accessible and efficient approach is presented for performing hyperspectral time-domain diffuse optical spectroscopy to determine the optical properties of samples accurately using geometry specific models. To allow bulk parameter recovery from measured spectra, a set of libraries based on a numerical model of the domain being investigated is developed as opposed to the conventional approach of using an analytical semi-infinite slab approximation, which is known and shown to i… Show more

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Cited by 11 publications
(12 citation statements)
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“…The curve fitting procedure requires calculation of time-resolved data using a computational model of light propagation for given optical properties in an iterative manner, which as a consequence requires a fast and reliable model for a complex heterogeneous system [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…The curve fitting procedure requires calculation of time-resolved data using a computational model of light propagation for given optical properties in an iterative manner, which as a consequence requires a fast and reliable model for a complex heterogeneous system [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Guggenheim et al [140] recovered the spectra of µ a (λ) and µ s (λ) of irregularly-shaped homogeneous media from TD-NIRS measurements. The analytical solutions of the TD-DE are usually not applicable to irregularly shaped media, and the finite element method (FEM) was employed to solve the TD-DE.…”
Section: Homogenous Semi-infinite Media or Infinite Slabmentioning
confidence: 99%
“…Sci. 2019, 9, Hybrid TD-RTE and TD-DE [119,120] 2014, 2016 Estimate of tissue composition in breasts using TR reflectance at 7 wavelengths [54,140] Appl. Sci.…”
mentioning
confidence: 99%
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“…When the shape of the sample is complex or the accuracy of MC is needed, it is possible to generate a look-up table (LUT) of simulations and apply the inverse problem by searching and/or interpolating results in the LUT [115,116]. This avoids the repetitive computation of MC, which, however, nowadays efficient, could not reach the computation speed of an analytical formula.…”
Section: Final Considerationsmentioning
confidence: 99%