Gaussian analyzing model of tissue light-induced fluorescence for the detection of early cancers

Ousama M. A'Amar; Dominique Lignon; Henri Begorre; Francois H. Guillemin; Edouard Yvroud

doi:10.1117/12.280293

18 August 1997 Gaussian analyzing model of tissue light-induced fluorescence for the detection of early cancers

Ousama M. A'Amar, Dominique Lignon, Henri Begorre, Francois H. Guillemin, Edouard Yvroud

Proceedings Volume 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II; (1997) https://doi.org/10.1117/12.280293
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

Abstract

In order to study the contribution of endogenous and exogenous fluorophores that participate in the global fluorescence signal, a Gaussian analyzing model which can be used for the extraction of important clinical information about tissue metabolic-structural characterization has been developed. This model is intended to the detection of lesions that are characterized by a low or masqued fluorescence emission of a specific fluorophore. The model described here in is based on experimental data of fluorescence spectra measured in phantoms simulating tissue absorption, diffusion, autofluorescence and induced fluorescence (with known concentrations of MTHPC). Each fluorescence peak in the measured spectrum is supposed to be situated in the center of a Gaussian distribution. So, the fitted fluorescence model is composed of the sum of all the Gaussians representing principal and secondary peaks appeared in the measured spectrum. Every Gaussian is characterized by three parameters: bandwidth (Bw), central peak position ((lambda) _p) and proportionality coefficient ((alpha) ). The built model can be then used to reconstruct the spectral shape of the fluorescence emission of a given phantom or tissue when only the proportionality coefficients are fitted and to separate effects due to fluorescence yield, tissue modulation, and fluorophores concentration. This approach permits us to identify tissue characteristics more accurately.

Citation Download Citation

Ousama M. A'Amar, Dominique Lignon, Henri Begorre, Francois H. Guillemin, and Edouard Yvroud "Gaussian analyzing model of tissue light-induced fluorescence for the detection of early cancers", Proc. SPIE 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II, (18 August 1997); https://doi.org/10.1117/12.280293

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