Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Mar 16;2(4):901-14.
doi: 10.1364/BOE.2.000914.

Quantification of the optical properties of two-layered turbid media by simultaneously analyzing the spectral and spatial information of steady-state diffuse reflectance spectroscopy

Te-Yu Tseng, Chun-Yu Chen, Yi-Shan Li, Kung-Bin Sung

Quantification of the optical properties of two-layered turbid media by simultaneously analyzing the spectral and spatial information of steady-state diffuse reflectance spectroscopy

Te-Yu Tseng et al. Biomed Opt Express. .

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 process improves the accuracies of estimating the optical properties and the top layer thickness in comparison to methods fitting reflectance spectra measured with a single source-detector separation or fitting spatially-resolved reflectance at a single wavelength. Further development of the method could improve noninvasive assessment of physiological status and pathological conditions of stratified squamous epithelium and superficial stroma.

Keywords: (110.4234) Multispectral and hyperspectral imaging; (170.3660) Light propagation in tissues; (170.6510) Spectroscopy, tissue diagnostics; (170.7050) Turbid media; (300.6550) Spectroscopy, visible.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Schematic diagram of the experimental setup. One source fiber and an imaging fiber bundle formed a simple fiber package whose distal end was in contact with the sample. The proximal end of the fiber bundle was positioned at the focal plane of the objective for the acquisition of hyperspectral images of the sample via the fiber bundle.
Fig. 2
Fig. 2
Image of the proximal end of the fiber bundle captured with the microscope objective. The center of the fiber bundle and the pixel with the highest intensity determine the line passing through the center of the source fiber. The 8 green circles indicate the regions for measuring diffuse reflectance spectra.
Fig. 3
Fig. 3
Spatially-resolved reflectance spectra of phantom 3 with SDSs from 0.4 mm to 1.8 mm and their corresponding fits.
Fig. 4
Fig. 4
Extracted µa(λ) (red lines) and µs'(λ) (blue lines) of the phantom experiments. The solid lines represent the expected values based on phantom compositions and the dashed lines represent the spectra extracted from DRS data.
Fig. 5
Fig. 5
Example of simulated diffuse reflectance spectra with noise and curve fitting results at multiple SDSs.
See this image and copyright information in PMC

References

    1. Chang V. T. C., Cartwright P. S., Bean S. M., Palmer G. M., Bentley R. C., Ramanujam N., “Quantitative physiology of the precancerous cervix in vivo through optical spectroscopy,” Neoplasia 11(4), 325–332 (2009). - PMC - PubMed
    1. Brown J. Q., Vishwanath K., Palmer G. M., Ramanujam N., “Advances in quantitative UV-visible spectroscopy for clinical and pre-clinical application in cancer,” Curr. Opin. Biotechnol. 20(1), 119–131 (2009). 10.1016/j.copbio.2009.02.004 - DOI - PMC - PubMed
    1. McGee S., Mirkovic J., Mardirossian V., Elackattu A., Yu C. C., Kabani S., Gallagher G., Pistey R., Galindo L., Badizadegan K., Wang Z., Dasari R., Feld M. S., Grillone G., “Model-based spectroscopic analysis of the oral cavity: impact of anatomy,” J. Biomed. Opt. 13(6), 064034 (2008). 10.1117/1.2992139 - DOI - PMC - PubMed
    1. Amelink A., Kaspers O. P., Sterenborg H. J., van der Wal J. E., Roodenburg J. L., Witjes M. J., “Non-invasive measurement of the morphology and physiology of oral mucosa by use of optical spectroscopy,” Oral Oncol. 44(1), 65–71 (2008). 10.1016/j.oraloncology.2006.12.011 - DOI - PubMed
    1. Bargo P. R., Prahl S. A., Goodell T. T., Sleven R. A., Koval G., Blair G., Jacques S. L., “In vivo determination of optical properties of normal and tumor tissue with white light reflectance and an empirical light transport model during endoscopy,” J. Biomed. Opt. 10(3), 034018 (2005). 10.1117/1.1921907 - DOI - PubMed

LinkOut - more resources