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Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography
Sergey Yu Ksenofontov1,2, Pavel A Shilyagin3, Dmitry A Terpelov2
1BioMedTech Llc, Nizhny Novgorod, 603155, Russia.
Frontiers of Optoelectronics
|January 15, 2023
Summary
A new numerical method corrects image distortions in spectral-domain optical coherence tomography (SD OCT) caused by object distance changes. This technique uses phase shifts to compensate for micrometer displacements, improving imaging quality.
Area of Science:
- Biomedical Optics
- Medical Imaging Technology
- Optical Physics
Background:
- Spectral-domain optical coherence tomography (SD OCT) is susceptible to image distortions.
- Fluctuations in the distance between the sample and the OCT system cause artifacts.
- These distortions degrade the quality and accuracy of OCT images, particularly in dynamic or in vivo applications.
Purpose of the Study:
- To propose and experimentally validate a numerical method for compensating image distortions in SD OCT.
- To address image artifacts arising from random distance fluctuations to the object.
- To enhance the robustness and reliability of SD OCT imaging.
Main Methods:
- A numerical method analyzing phase shifts between adjacent scans was developed.
- Micrometer-scale displacements were identified through phase shift analysis.
- Compensation was achieved via phase-frequency correction in the spectral space.
Main Results:
- The proposed method effectively compensated for image distortions caused by distance fluctuations.
- Experimental validation included model experiments with controlled object movements (harmonic and random).
- Successful in vivo application was demonstrated during human retinal imaging.
Conclusions:
- The developed numerical method offers an efficient solution for correcting SD OCT image distortions.
- Phase-frequency correction in spectral space is a viable strategy for handling micrometer-scale displacements.
- This technique has significant potential for improving in vivo SD OCT imaging, especially for dynamic samples.

