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Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes.

Pablo Ortiz1, Amit Narawane1, Ryan P McNabb2

  • 1Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.

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Summary

This study introduces a new digital motion correction for robotic OCT, significantly reducing artifacts in retinal imaging. The advanced technique enhances diagnostic accuracy by minimizing residual motion errors during scans.

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Optical coherence tomography (OCT) is crucial for retinal diagnostics but sensitive to motion artifacts.
  • Existing robotic OCT (RAOCT) reduces some motion but is limited by hardware and processing delays.
  • Residual motion compromises image quality and diagnostic precision in retinal OCT.

Purpose of the Study:

  • To develop and validate a novel sensor-driven digital motion correction method for OCT.
  • To further reduce residual motion artifacts beyond RAOCT's capabilities.
  • To improve the accuracy and reliability of retinal OCT imaging.

Main Methods:

  • Implemented a synchronized sensing system for real-time eye and scanner tracking.
  • Developed a ray-tracing model to remap A-scans based on the precise acquisition moment.
  • Integrated the digital correction with existing robotically-aligned OCT (RAOCT) systems.

Main Results:

  • Achieved an 88.3% reduction in axial, 80.4% in lateral, and 62.6% in rotational motion artifacts.
  • Reduced residual motion errors in human retinal OCT images to 12.4 µm (axial), 0.11° (lateral), and 0.39° (rotational).
  • Demonstrated significant improvement in image quality and motion compensation beyond standard RAOCT.

Conclusions:

  • The sensor-driven digital motion correction effectively minimizes residual artifacts in OCT.
  • This method enhances the precision of retinal OCT imaging, particularly for handheld or non-stabilized applications.
  • The approach offers a substantial advancement for diagnostic accuracy in ophthalmology.