Hybrid diffusion and two-flux approximation for multilayered tissue light propagation modeling.

Area of Science:

• Biophotonics
• Optical Imaging
• Biomedical Optics

Background:

• Accurate light transport modeling is crucial for in vivo tissue diagnostics and therapy.
• Existing models like the diffusion approximation fail in strongly absorbing tissues, limiting applications.
• The radiative transfer equation (RTE) is accurate but computationally intensive.

Purpose of the Study:

• To develop a novel model for light transfer in multilayered biological media.
• To accurately estimate fluence, reflectance, and absorbance in both weakly and strongly absorbing tissues.
• To provide a computationally practical alternative to Monte Carlo simulations for real-time biophotonics applications.

Main Methods:

• Developed a new model for light transfer through layered biological media.
• Represented skin as a three-layered structure: two strongly scattering and one strongly absorbing layer.
• The model accommodates both strongly and weakly absorbing regimes.

Main Results:

• The new model provides accurate estimations of light transport in multilayered biological media.
• It overcomes the limitations of the diffusion approximation in strongly absorbing tissues.
• The model is suitable for applications requiring real-time analysis.

Conclusions:

• The presented model offers a significant advancement for light transport modeling in complex biological tissues.
• It enables more accurate and practical biophotonics applications, particularly in scenarios with high absorption.
• This approach enhances the potential for improved in vivo tissue diagnosis and treatment monitoring.