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Updated: May 18, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
Published on: January 15, 2013
Phase-domain processing of optical coherence tomography images.
This study introduces processing optical coherence tomography (OCT) signals in the complex domain to reduce speckle noise. The zero-adjustment procedure (ZAP) effectively reduces speckle contrast in OCT images but may blur sharp features.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Optical Coherence Tomography
Background:
- Optical coherence tomography (OCT) typically forms images from signal envelopes, losing crucial phase information.
- Envelope calculation is a nonlinear process that discards phase data, limiting image quality and analysis.
- Phase aberrations contribute to speckle noise in OCT images, degrading resolution and contrast.
Purpose of the Study:
- To explore processing OCT interference signals in the complex domain before envelope calculation.
- To investigate the use of phase information for correcting aberrations and reducing speckle noise.
- To evaluate a novel complex-domain speckle reduction technique, the zero-adjustment procedure (ZAP).
Main Methods:
- Developed an OCT system with quadrature demodulation for accurate phase and amplitude recording.
- Implemented and investigated the zero-adjustment procedure (ZAP) for complex-domain signal processing.
- Validated ZAP's speckle-correction properties through mathematical analysis and numerical simulations.
Main Results:
- ZAP effectively reduces speckle contrast in OCT images, particularly in high scatterer density regions.
- The technique expands the dynamic range of gray values within the OCT images.
- Current implementation of ZAP can lead to blurring of sharp boundaries between image features.
Conclusions:
- Complex-domain processing of OCT signals offers a pathway to correct phase aberrations and mitigate speckle noise.
- The ZAP technique demonstrates potential for enhancing OCT image quality by reducing speckle.
- Further refinement of ZAP is needed to address the blurring of image feature boundaries.
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