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Journal of Biomedical Optics • Open Access

Experimental validation of an inverse fluorescence Monte Carlo model to extract concentrations of metabolically relevant fluorophores from turbid phantoms and a murine tumor model
Author(s): Chengbo Liu; Narasimhan Rajaram; Karthik Vishwanath; Tony Jiang; Nirmala Ramanujam; Gregory M. Palmer

Paper Abstract

An inverse Monte Carlo based model has been developed to extract intrinsic fluorescence from turbid media. The goal of this work was to experimentally validate the model to extract intrinsic fluorescence of three biologically meaningful fluorophores related to metabolism from turbid media containing absorbers and scatterers. Experimental studies were first carried out on tissue-mimicking phantoms that contained individual fluorophores and their combinations, across multiple absorption, scattering, and fluorophore concentrations. The model was then tested in a murine tumor model to determine both the kinetics of fluorophore uptake as well as overall tissue fluorophore concentration through extraction of the intrinsic fluorescence of an exogenous contrast agent that reports on glucose uptake. Results show the model can be used to recover the true intrinsic fluorescence spectrum with high accuracy (R2 = 0.988) as well as accurately compute fluorophore concentration in both single and multiple fluorophores phantoms when appropriate calibration standards are available. In the murine tumor, the model-corrected intrinsic fluorescence could be used to differentiate drug dose injections between different groups. A strong linear correlation was observed between the extracted intrinsic fluorescence intensity and injected drug dose, compared with the distorted turbid tissue fluorescence.

Paper Details

Date Published: 24 July 2012
PDF: 16 pages
J. Biomed. Opt. 17(7) 077012 doi: 10.1117/1.JBO.17.7.077012
Published in: Journal of Biomedical Optics Volume 17, Issue 7
Show Author Affiliations
Chengbo Liu, Xi'an Jiaotong Univ. (China)
Narasimhan Rajaram, Duke Univ. (United States)
Karthik Vishwanath, Duke Univ. (United States)
Tony Jiang, Duke Univ. (United States)
Nirmala Ramanujam, Duke Univ. (United States)
Gregory M. Palmer, Duke Univ. School of Medicine (United States)

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