Presentation + Paper
7 March 2022 3D motion-compensated optical coherence tomography based on higher-order regression towards real-time volumetric imaging of the cornea
Author Affiliations +
Abstract
Optical coherence tomography (OCT) has evolved into a powerful imaging technique that allows high-resolution visualization of biological tissues. However, most in vivo OCT systems for real-time volumetric (3D) imaging suffer from image distortion due to motion artifacts induced by involuntary and physiological movements of the living tissue, such as the eye that is constantly in motion.While several methods have been proposed to account for and remove motion artifacts during OCT imaging of the retina, fewer works have focused on motion-compensated OCT-based measurements of the cornea. Here, we propose an OCT system for volumetric imaging of the cornea, capable of compensating both axial and lateral motion with micron-scale accuracy and millisecond-scale time consumption based on higher-order regression. System performance was evaluated during volumetric imaging of corneal phantom and bovine (ex vivo) samples that were positioned in the palm of a hand to simulate involuntary 3D motion. An overall motion-artifact error of less than 4.61 μm and processing time of about 3.40 ms for each B-scan was achieved.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruizhi Zuo, Yaning Wang, Kristina Irsch, and Jin U. Kang "3D motion-compensated optical coherence tomography based on higher-order regression towards real-time volumetric imaging of the cornea", Proc. SPIE 11948, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI, 1194805 (7 March 2022); https://doi.org/10.1117/12.2613155
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KEYWORDS
Optical coherence tomography

Cornea

Tissues

3D image processing

Imaging systems

Real time imaging

Natural surfaces

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