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A diffusion theory model of spatially resolved fluorescence from depth-dependent fluorophore concentrations
D E Hyde1, T J Farrell, M S Patterson
1Hamilton Regional Cancer Centre, Department of Physics and McMaster University, Ontario, Canada.
Physics in Medicine and Biology
|March 7, 2001
Summary
A new photon diffusion model quantifies fluorescence in layered tissues. This technique can track topical drug diffusion and photobleaching during photodynamic therapy.
Area of Science:
- Biomedical Optics
- Photonic Modeling
- Tissue Optics
Background:
- Accurate modeling of light propagation in tissue is crucial for understanding fluorescence.
- Quantifying fluorophore concentration and optical properties in heterogeneous tissues remains challenging.
Purpose of the Study:
- To develop and validate a photon diffusion model for calculating steady-state, spatially resolved fluorescence in layered tissues.
- To assess the model's capability in simulating excitation reflectance and fluorescence escape.
- To explore the application of spatially resolved fluorescence for monitoring drug diffusion and photobleaching.
Main Methods:
- Developed a photon diffusion model for pencil beam excitation in layered tissue.
- Calculated excitation reflectance and fluorescence escape for continuous depth distributions.
- Validated the model using Monte Carlo simulations and experimental phantom measurements.
- Simulated realistic drug distributions to explore model applications.
Main Results:
- The model accurately calculates steady-state spatially resolved fluorescence.
- Validation confirmed the model's reliability against established methods.
- Simulations demonstrated the potential to quantify topical drug diffusion into skin.
- The technique showed promise for monitoring sensitizer photobleaching in photodynamic therapy.
Conclusions:
- The developed photon diffusion model provides a robust method for analyzing fluorescence in layered tissues.
- Spatially resolved fluorescence offers a viable approach for non-invasive monitoring of pharmacological and therapeutic processes in vivo.
- This modeling approach has significant implications for drug delivery research and photodynamic therapy optimization.