Computational model of bladder tissue based on its measured optical properties

Ilya E. Rafailov; Victor V. Dremin; Karina S. Litvinova; Andrey V. Dunaev; Sergei G. Sokolovski; Edik U. Rafailov

doi:10.1117/1.JBO.21.2.025006

15 February 2016 Computational model of bladder tissue based on its measured optical properties

Ilya E. Rafailov, Victor V. Dremin, Karina S. Litvinova, Andrey V. Dunaev, Sergei G. Sokolovski, Edik U. Rafailov

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Funded by: State University—Education-Science-Production Complex

Journal of Biomedical Optics, Vol. 21, Issue 2, 025006 (February 2016). https://doi.org/10.1117/1.JBO.21.2.025006

Abstract

Urinary bladder diseases are a common problem throughout the world and often difficult to accurately diagnose. Furthermore, they pose a heavy financial burden on health services. Urinary bladder tissue from male pigs was spectrophotometrically measured and the resulting data used to calculate the absorption, transmission, and reflectance parameters, along with the derived coefficients of scattering and absorption. These were employed to create a “generic” computational bladder model based on optical properties, simulating the propagation of photons through the tissue at different wavelengths. Using the Monte-Carlo method and fluorescence spectra of UV and blue excited wavelength, diagnostically important biomarkers were modeled. Additionally, the multifunctional noninvasive diagnostics system “LAKK-M” was used to gather fluorescence data to further provide essential comparisons. The ultimate goal of the study was to successfully simulate the effects of varying excited radiation wavelengths on bladder tissue to determine the effectiveness of photonics diagnostic devices. With increased accuracy, this model could be used to reliably aid in differentiating healthy and pathological tissues within the bladder and potentially other hollow organs.

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Ilya E. Rafailov, Victor V. Dremin, Karina S. Litvinova, Andrey V. Dunaev, Sergei G. Sokolovski, and Edik U. Rafailov "Computational model of bladder tissue based on its measured optical properties," Journal of Biomedical Optics 21(2), 025006 (15 February 2016). https://doi.org/10.1117/1.JBO.21.2.025006

Published: 15 February 2016

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