| Literature DB >> 32637251 |
Xiang Wei1,2, Tristan T Hormel1, Yukun Guo1, Thomas S Hwang1, Yali Jia1,2.
Abstract
In this study, we demonstrate a novel self-navigated motion correction method that suppresses eye motion and blinking artifacts on wide-field optical coherence tomographic angiography (OCTA) without requiring any hardware modification. Highly efficient GPU-based, real-time OCTA image acquisition and processing software was developed to detect eye motion artifacts. The algorithm includes an instantaneous motion index that evaluates the strength of motion artifact on en face OCTA images. Areas with suprathreshold motion and eye blinking artifacts are automatically rescanned in real-time. Both healthy eyes and eyes with diabetic retinopathy were imaged, and the self-navigated motion correction performance was demonstrated.Entities:
Year: 2020 PMID: 32637251 PMCID: PMC7316026 DOI: 10.1364/BOE.390430
Source DB: PubMed Journal: Biomed Opt Express ISSN: 2156-7085 Impact factor: 3.732