Research Papers: General

Computational model of bladder tissue based on its measured optical properties

[+] Author Affiliations
Ilya E. Rafailov

Aston University, School of Engineering and Applied Sciences, Aston Institute of Photonic Technologies, Birmingham B4 7ET, United Kingdom

Victor V. Dremin, Andrey V. Dunaev

State University—Education-Science-Production Complex, Biomedical Photonics Instrumentation Group, Scientific-Educational Centre of “Biomedical Engineering,” Oryol 302020, Russia

Karina S. Litvinova, Sergei G. Sokolovski, Edik U. Rafailov

Aston University, Optoelectronics and Biomedical Photonics Group, Aston Institute of Photonic Technologies, Aston Triangle, Birmingham B4 7ET, United Kingdom

J. Biomed. Opt. 21(2), 025006 (Feb 15, 2016). doi:10.1117/1.JBO.21.2.025006
History: Received October 20, 2015; Accepted January 14, 2016
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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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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Ilya E. Rafailov ; Victor V. Dremin ; Karina S. Litvinova ; Andrey V. Dunaev ; Sergei G. Sokolovski, et al.
"Computational model of bladder tissue based on its measured optical properties", J. Biomed. Opt. 21(2), 025006 (Feb 15, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.2.025006


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