ArticlePloS one2018
Intraframe motion correction for raster-scanned adaptive optics images using strip-based cross-correlation lag biases.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 32 citations in OpenAlex.
- Phase-based optoretinographic measurements of cones with a raster-scanning adaptive optics OCT are highly repeatable.Biomedical optics express · 2026Article
- Automated montaging and contrast stretching of adaptive optics ophthalmoscope images.Biomedical optics express · 2026Article
- Optoretinography with actively stabilized adaptive optics optical coherence tomography.Biomedical optics express · 2025Article
- The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems.Sensors (Basel, Switzerland) · 2025Article
- Improved tracking of corneal immune cell dynamics usingBiomedical optics express · 2024Article
- Normalized weighted cross correlation for multi-channel image registration.Optics continuum · 2024Article
- Substrip-based registration and automatic montaging of adaptive optics retinal images.Biomedical optics express · 2024Article
- Evolution of adaptive optics retinal imaging [Invited].Biomedical optics express · 2023Review
- Eye tracking: empirical foundations for a minimal reporting guideline.Behavior research methods · 2023Review
- Numerical calibration method for a multiple spectrometer-based OCT system.Biomedical optics express · 2022Article
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
- Automated image processing pipeline for adaptive optics scanning light ophthalmoscopy.Biomedical optics express · 2021Article
- Strip-based digital image registration for distortion minimization and robust eye motion measurement from scanned ophthalmic imaging systems.Biomedical optics express · 2021Article
- Template free eye motion correction for scanning systems.Optics letters · 2021Article
- Optimizing 3D retinal vasculature imaging in diabetic retinopathy using registration and averaging of OCT-A.Biomedical optics express · 2021Article
- Multi-reference global registration of individual A-lines in adaptive optics optical coherence tomography retinal images.Journal of biomedical optics · 2021Article
- Towards distortion-free imaging of the eye.PloS one · 2021Article
- Correcting intra-volume distortion for AO-OCT using 3D correlation based registration.Optics express · 2020Article
- Cellular-Scale Imaging of Transparent Retinal Structures and Processes Using Adaptive Optics Optical Coherence Tomography.Annual review of vision science · 2020Review
- Optoretinogram: optical measurement of human cone and rod photoreceptor responses to light.Optics letters · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
In retinal raster imaging modalities, fixational eye movements manifest as image warp, where the relative positions of the beam and retina change during the acquisition of single frames. To remove warp artifacts, strip-based registration methods-in which fast-axis strips from target images are registered to a reference frame-have been applied in adaptive optics (AO) scanning light ophthalmoscopy (SLO) and optical coherence tomography (OCT). This approach has enabled object tracking and frame averaging, and methods have been described to automatically select reference frames with minimal motion. However, inconspicuous motion artifacts may persist in reference frames and propagate themselves throughout the processes of registration, tracking, and averaging. Here we test a previously proposed method for removing movement artifacts in reference frames, using biases in stripwise cross-correlation statistics. We applied the method to synthetic retinal images with simulated eye motion artifacts as well as real AO-SLO images of the cone mosaic and volumetric AO-OCT images, both affected by eye motion. In the case of synthetic images, the method was validated by direct comparison with motion-free versions of the images. In the case of real AO images, performance was validated by comparing the correlation of uncorrected images with that of corrected images, by quantifying the effect of motion artifacts on the image power spectra, and by qualitative examination of AO-OCT B-scans and en face projections. In all cases, the proposed method reduced motion artifacts and produced more faithful images of the retina.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.