Computational model of bladder tissue based on its measured optical properties

Area of Science:

• Biomedical Optics
• Computational Modeling
• Medical Diagnostics

Background:

• Urinary bladder diseases present diagnostic challenges and significant healthcare costs.
• Accurate diagnosis is crucial for effective treatment and management of bladder conditions.

Purpose of the Study:

• To create a computational bladder model based on optical properties.
• To simulate photon propagation through bladder tissue at various wavelengths.
• To assess the potential of photonics for noninvasive bladder diagnostics.

Main Methods:

• Spectrophotometric measurement of male pig urinary bladder tissue.
• Calculation of optical parameters (absorption, transmission, reflectance, scattering, absorption coefficients).
• Monte Carlo simulation and fluorescence spectroscopy (UV and blue excitation) for biomarker modeling.

Main Results:

• A "generic" computational bladder model was developed using tissue optical properties.
• The model simulates photon propagation and allows for biomarker modeling.
• Comparisons were made using fluorescence data from the "LAKK-M" system.

Conclusions:

• Simulating excited radiation wavelengths' effects on bladder tissue is key for photonics diagnostic device effectiveness.
• The developed model can improve accuracy in differentiating healthy from pathological bladder tissues.
• This approach may be applicable to other hollow organs.