A Quantitative Model for Optical Coherence Tomography.

Area of Science:

• Biomedical Optics
• Medical Imaging
• Optical Engineering

Background:

• Optical Coherence Tomography (OCT) is a key micrometer-resolution imaging technique with growing medical applications.
• Current OCT models often use simplifying assumptions, like plane wave approximations, neglecting crucial light-sample interaction effects.
• A more accurate model is needed for precise OCT data prediction in various applications.

Purpose of the Study:

• To develop a quantitative mathematical model for OCT imaging that incorporates realistic light-sample interactions.
• To move beyond standard plane wave simplifications in OCT modeling.
• To enable more precise prediction of OCT data by including system-specific parameters.

Main Methods:

• Developed a model treating measured OCT intensity as back-scattered Gaussian beams.
• Incorporated system parameters like focus position and laser spot size into the model.
• Validated the model using simulations and experimental data from a 1300 nm swept-source OCT system.

Main Results:

• The proposed Gaussian beam model provides a more realistic description of OCT measurements compared to plane wave models.
• The model accurately predicts OCT data when system parameters are calibrated.
• Simulations and experimental comparisons confirm the model's validity.

Conclusions:

• The developed quantitative model offers improved accuracy for OCT data prediction.
• This approach accounts for system-specific optical properties, enhancing the fidelity of OCT imaging models.
• The findings pave the way for more precise OCT analysis and applications.