@inproceedings{885ade04d6c046d0a7d6af8f99eca945,
title = "Motion-compensated optical coherence tomography based on higher-order regression for real-time volumetric imaging",
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.",
author = "Ruizhi Zuo and Kristina Irsch and Kang, {Jin U.}",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV 2021 ; Conference date: 06-03-2021 Through 11-03-2021",
year = "2021",
doi = "10.1117/12.2577906",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Izatt, {Joseph A.} and Fujimoto, {James G.}",
booktitle = "Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV",
}