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Proceedings Paper

Computational modeling of device-tissue interface geometries for time-resolved fluorescence in layered tissue
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Paper Abstract

Temporal measurements of fluorescence emitted from biological tissue provide information on biochemistry and morphology which may be useful in identifying neoplasia onset. Depth-selective detection of time-resolved fluorescence may enable enhanced discrimination of signals originating from individual tissue layers and thus improve device efficacy. In this study, we investigate how illumination-collection design parameters influence a device's ability to measure fluorophore lifetime and changes in superficial layer thickness. A two-layer, time-resolved Monte Carlo model of fluorescence light propagation in colonic polyps was used to simulate temporal decay curves. Several normal- and oblique-incidence geometries were investigated. Also, the efficacy of a convolution-based, bi-exponential lifetime calculation is compared to a full-width-half-max decay curve metric. Results indicate that interface design has a significant effect on the accuracy of fluorophore lifetime estimates and the ability to discriminate changes in tissue morphology. This is due to changes in the relative contribution of each tissue layer to the total detected signal.

Paper Details

Date Published: 15 February 2006
PDF: 9 pages
Proc. SPIE 6083, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications VI, 608305 (15 February 2006); doi: 10.1117/12.646960
Show Author Affiliations
T. Joshua Pfefer, U.S. Food and Drug Administration (United States)
Anant Agrawal, U.S. Food and Drug Administration (United States)
Rebekah A. Drezek, Rice Univ. (United States)


Published in SPIE Proceedings Vol. 6083:
Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications VI
Israel Gannot, Editor(s)

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