Motion-compensated optical coherence tomography based on higher-order regression for real-time volumetric imaging

Ruizhi Zuo; Kristina Irsch; Jin U. Kang

doi:10.1117/12.2577906

5 March 2021 Motion-compensated optical coherence tomography based on higher-order regression for real-time volumetric imaging

Ruizhi Zuo, Kristina Irsch, Jin U. Kang

Author Affiliations +

Proceedings Volume 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV; 116301N (2021) https://doi.org/10.1117/12.2577906
Event: SPIE BiOS, 2021, Online Only

Abstract

Optical Coherence Tomography (OCT) has evolved into a powerful clinical tool, with a wide range of applications in ophthalmology. However, most OCT systems for real-time volumetric (3D) and in vivo imaging suffer from image distortion due to motion artifacts induced by involuntary and physiological movements of the living tissue. Several methods have been proposed to obtain motion-free images, yet they are generally limited in their applicability due to long acquisition times, requiring multiple volumes [1], and/or the need for additional hardware [2]. Here we propose and analyze a motion-compensated 3D-OCT imaging system that uses a higher-order regression analysis and show that it can effectively correct the motion artifacts within 0 to 5 Hz in real time without requiring additional hardware.

Conference Presentation

Citation Download Citation

Ruizhi Zuo, Kristina Irsch, and Jin U. Kang "Motion-compensated optical coherence tomography based on higher-order regression for real-time volumetric imaging", Proc. SPIE 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, 116301N (5 March 2021); https://doi.org/10.1117/12.2577906

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