Zero-crossing approach to high-resolution reconstruction in frequency-domain optical-coherence tomography

Area of Science:

• Biomedical Optics
• Signal Processing
• Medical Imaging

Background:

• Frequency-domain optical coherence tomography (FDOCT) is crucial for high-resolution imaging.
• Traditional FDOCT reconstruction using inverse discrete Fourier transform is limited by the Heisenberg uncertainty principle.
• Developing advanced reconstruction techniques is essential for improving FDOCT performance.

Purpose of the Study:

• To propose and evaluate a novel high-resolution reconstruction technique for FDOCT.
• To overcome the resolution limitations of traditional Fourier-based methods.
• To enhance the noise robustness of FDOCT imaging.

Main Methods:

• A reconstruction technique based on zero-crossing (ZC) interval analysis of backscattered signals.
• Utilizing the statistical properties of ZC intervals to detect signal frequencies.
• Employing a cosine-modulated filter bank with Kaiser window design for noise reduction and frequency band separation.
• Applying ZC analysis to individual frequency bands for improved accuracy.

Main Results:

• The proposed ZC interval analysis method successfully reconstructs high-resolution FDOCT data.
• Demonstrated enhanced resolution compared to standard Fourier reconstruction.
• Achieved improved noise robustness through filter bank processing.
• Validated the technique using both synthesized and experimental data.

Conclusions:

• The zero-crossing interval analysis offers a superior alternative for FDOCT reconstruction.
• This method significantly improves image resolution and noise immunity.
• The technique shows promise for advanced biomedical imaging applications requiring high fidelity.