Using image data to numerically correct the jitter in polarization depth encoding PS-OCT.

Area of Science:

• Biomedical Optics
• Medical Imaging Technology
• Optical Coherence Tomography

Background:

• Swept-source polarization-sensitive optical coherence tomography (PS-OCT) is susceptible to laser jitter, which adds noise to polarization measurements.
• Accurate polarization-sensitive measurements are crucial for detailed tissue analysis.

Purpose of the Study:

• To develop and validate a numerical algorithm for correcting laser jitter in PS-OCT.
• To reduce system complexity and cost in polarization depth encoding PS-OCT.

Main Methods:

• A novel numerical algorithm utilizing Mueller matrix calculus was developed to correct jitter phases directly from image data.
• The algorithm was tested in vivo using a custom-built PS-OCT system for guinea pig retina imaging.

Main Results:

• The numerical algorithm effectively corrected jitter-induced noise in PS-OCT images.
• Performance was comparable to conventional methods relying on physical calibration signals.
• The method eliminates the need for hardware-generated calibration signals and k-clocks.

Conclusions:

• The proposed numerical algorithm offers an effective, hardware-independent solution for noise reduction in PS-OCT.
• This approach simplifies PS-OCT systems, making them more accessible and cost-effective for applications like in vivo retina imaging.