Paper
19 May 1994 Application of the adjoint method to Monte Carlo studies of fluorescent localization in turbid media
Richard J. Crilley, Wai-Fung Cheong, Brian C. Wilson, J. Richard Spears M.D.
Author Affiliations +
Abstract
The present work has modeled fluorophore detection in optically turbid (absorbing and scattering) media by Monte Carlo simulation to determine the response functions for the single source/single detector case. This included application of the 'adjoint' Monte Carlo technique, as well as equivalent cylindrical models for noncylindrically symmetric geometries, which have reduced the computation time significantly. The case of fluorescent layer at depth in an optically homogeneous medium was then modeled and an image backprojection algorithm applied to estimate the depth of the fluorescent layer. The influence of tissue albedo, source- detector spacing, and detector numerical aperture on the depth accuracy and resolution have been examined. Possible improvements in multifiber detection for fluorescence quantification and localization within tissue are discussed.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard J. Crilley, Wai-Fung Cheong, Brian C. Wilson, and J. Richard Spears M.D. "Application of the adjoint method to Monte Carlo studies of fluorescent localization in turbid media", Proc. SPIE 2135, Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases, (19 May 1994); https://doi.org/10.1117/12.175984
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KEYWORDS
Sensors

Monte Carlo methods

Signal detection

Absorption

Tissue optics

Fluorescence spectroscopy

Luminescence

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