ArticlePhysics in medicine and biology2017
Complex-based OCT angiography algorithm recovers microvascular information better than amplitude- or phase-based algorithms in phase-stable systems.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Phase-restoring subpixel image registration: enhancing motion detection performance in Fourier-domain optical coherence tomography.Journal of physics D: Applied physics · 2025Article
- Dual beam optical coherence tomography angiography for decoupling axial velocity gradient.Scientific reports · 2024Article
- Segmentation of retinal microaneurysms in fluorescein fundus angiography images by a novel three-step model.Frontiers in medicine · 2024Article
- Fast optical coherence tomography angiography image acquisition and reconstruction pipeline for skin application.Biomedical optics express · 2023Article
- Comparative study of OCTA algorithms with a high-sensitivity multi-contrast Jones matrix OCT system for human skin imaging.Biomedical optics express · 2022Article
- Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration.Biomedical optics express · 2022Article
- Endoscopic optical coherence tomography angiography using inverse SNR-amplitude decorrelation features and electrothermal micro-electro-mechanical system raster scan.Quantitative imaging in medicine and surgery · 2022Article
- Comparative study of optical coherence tomography angiography algorithms for rodent retinal imaging.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Segmentation of the urothelium in optical coherence tomography images with dynamic contrast.Journal of biomedical optics · 2021Article
- Optimizing 3D retinal vasculature imaging in diabetic retinopathy using registration and averaging of OCT-A.Biomedical optics express · 2021Article
- Quantitative multi-contrastBiomedical optics express · 2020Article
- Mean-Subtraction Method for De-shadowing of Tail Artifacts in Cerebral OCTA Images: A Proof of Concept.Materials (Basel, Switzerland) · 2020Article
- Signal averaging improves signal-to-noise in OCT images: But which approach works best, and when?Biomedical optics express · 2019Article
- Dynamic imaging and quantification of subcellular motion with eigen-decomposition optical coherence tomography-based variance analysis.Journal of biophotonics · 2019Article
- Spatial resolution in dynamic optical coherence elastography.Journal of biomedical optics · 2019Article
- Optical coherence tomography angiography in preclinical neuroimaging.Biomedical engineering letters · 2019Review
- Monitoring Acute Stroke Progression: Multi-Parametric OCT Imaging of Cortical Perfusion, Flow, and Tissue Scattering in a Mouse Model of Permanent Focal Ischemia.IEEE transactions on medical imaging · 2019Article
- Revealing the morphology and function of the cochlea and middle ear with optical coherence tomography.Quantitative imaging in medicine and surgery · 2019Review
- Microvascular imaging of the skin.Physics in medicine and biology · 2019Review
- Vessel density and En-face segmentation of optical coherence tomography angiography to analyse corneal vascularisation in an animal model.Eye and vision (London, England) · 2019Article
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4 authors.
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Abstract
Optical coherence tomography angiography (OCTA) is increasingly becoming a popular inspection tool for biomedical imaging applications. By exploring the amplitude, phase and complex information available in OCT signals, numerous algorithms have been proposed that contrast functional vessel networks within microcirculatory tissue beds. However, it is not clear which algorithm delivers optimal imaging performance. Here, we investigate systematically how amplitude and phase information have an impact on the OCTA imaging performance, to establish the relationship of amplitude and phase stability with OCT signal-to-noise ratio (SNR), time interval and particle dynamics. With either repeated A-scan or repeated B-scan imaging protocols, the amplitude noise increases with the increase of OCT SNR; however, the phase noise does the opposite, i.e. it increases with the decrease of OCT SNR. Coupled with experimental measurements, we utilize a simple Monte Carlo (MC) model to simulate the performance of amplitude-, phase- and complex-based algorithms for OCTA imaging, the results of which suggest that complex-based algorithms deliver the best performance when the phase noise is < ~40 mrad. We also conduct a series of in vivo vascular imaging in animal models and human retina to verify the findings from the MC model through assessing the OCTA performance metrics of vessel connectivity, image SNR and contrast-to-noise ratio. We show that for all the metrics assessed, the complex-based algorithm delivers better performance than either the amplitude- or phase-based algorithms for both the repeated A-scan and the B-scan imaging protocols, which agrees well with the conclusion drawn from the MC simulations.
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