2011
DOI: 10.1364/boe.2.000901
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Quantification of the optical properties of two-layered turbid media by simultaneously analyzing the spectral and spatial information of steady-state diffuse reflectance spectroscopy

Abstract: We applied hyperspectral imaging to measure spatially-resolved diffuse reflectance spectra in the visible range and an iterative inversion method based on forward Monte Carlo modeling to quantify optical properties of two-layered tissue models. We validated the inversion method using spectra experimentally measured from liquid tissue mimicking phantoms with known optical properties. Results of fitting simulated data showed that simultaneously considering the spatial and spectral information in the inversion pr… Show more

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Cited by 53 publications
(27 citation statements)
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“…The performance of this two-layer model may be witnessed by the stability of the recovered melanin content and epidermal thickness during the whole reactive hyperemia protocol. This two-layer model can be easily extended to multiple-layer systems and may also be applied beyond the skin in modeling other layered structures such as stratified epithelium and superficial stroma [38].…”
Section: Discussionmentioning
confidence: 99%
“…The performance of this two-layer model may be witnessed by the stability of the recovered melanin content and epidermal thickness during the whole reactive hyperemia protocol. This two-layer model can be easily extended to multiple-layer systems and may also be applied beyond the skin in modeling other layered structures such as stratified epithelium and superficial stroma [38].…”
Section: Discussionmentioning
confidence: 99%
“…Some reports exist on the application of inverse photon transport models on hyperspectral images after image acquisition. 16,17 This paper presents a deterministic hyperspectral inverse modeling approach based on diffusion theory and spectral unmixing. These analytical methods are suitable for GPU implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Spatially resolved diffuse reflectance spectroscopy systems incorporate multiple detectors positioned at multiple distances with respect to the illumination source. Each detector selectively collects diffusely back-reflected photons penetrating to different depths within the tissue, thus enabling depth-resolved optical tissue characterization [2]. Typical SRDR probes are fiber-based and incorporate 3-8 source-detector pairs lacking dense measurement capability [2][3][4].…”
Section: Introductionmentioning
confidence: 99%