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Proceedings Paper

Validation of a fiber optic-based UVA-VIS optical property measurement system
Author(s): Quanzeng Wang; Anant Agrawal; Nam Sun Wang; Josh Pfefer
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Paper Abstract

Tissue optical properties at ultraviolet A (UVA) and visible (VIS) wavelengths are needed to elucidate light-tissue interaction effects and optimize design parameters for spectroscopy-based neoplasia detection devices. Toward the goal of accurate and useful in vivo measurements, we have constructed and evaluated a system for optical property measurement at UVA-VIS wavelengths. Our approach involves a neural network-based inverse model calibrated with reflectance datasets simulated using a condensed Monte Carlo approach with absorption coefficients as high as 80 cm-1 and reduced scattering coefficients as high as 70 cm-1. Optical properties can be predicted with the inverse model based on spatially resolved reflectance measured with a fiberoptic probe. Theoretical evaluation of the inverse model was performed using simulated reflectance distributions at random optical properties. Experimental evaluation involved the use of tissue phantoms constructed from bovine hemoglobin and polystyrene microspheres. An average accuracy of ±1.0 cm-1 for absorption coefficients and ±2.7 cm-1 for reduced scattering coefficients was found from realistic phantoms at five UVA-VIS wavelengths. While accounting for the very high attenuation levels near the 415 nm Soret absorption band required some modifications, our findings provide evidence that the current approach produces useful data over a wide range of optical properties, and should be particularly useful for in vivo characterization of highly attenuating biological tissues.

Paper Details

Date Published: 6 March 2008
PDF: 11 pages
Proc. SPIE 6849, Design and Quality for Biomedical Technologies, 68490G (6 March 2008); doi: 10.1117/12.769054
Show Author Affiliations
Quanzeng Wang, U.S. Food and Drug Administration (United States)
Univ. of Maryland, College Park (United States)
Anant Agrawal, U.S. Food and Drug Administration (United States)
Nam Sun Wang, Univ. of Maryland, College Park (United States)
Josh Pfefer, U.S. Food and Drug Administration (United States)

Published in SPIE Proceedings Vol. 6849:
Design and Quality for Biomedical Technologies
Ramesh Raghavachari; Rongguang Liang, Editor(s)

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