ArticleJournal of biomedical optics2021
Multi-reference global registration of individual A-lines in adaptive optics optical coherence tomography retinal images.
Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Cumulative Loss of Inner Retinal Neurons in Healthy and Glaucoma Subjects.Investigative ophthalmology & visual science · 2026Article
- Toward Organelle Motility as a Functional Biomarker of Retinal Pigment Epithelium Health.Translational vision science & technology · 2026Article
- Multi-modal and inter-device retinal OCT registration via learning-based feature correspondence.Biomedical optics express · 2026Article
- Article
- Computational aberration correction enables full-thickness retinal imaging with adaptive optics optical coherence tomography.Biocybernetics and biomedical engineering · 2026Article
- Investigating neurovascular responses of the peripapillary retinal artery to focal flicker stimulation of temporal retinal neurons in the living human eye using AO-OCT.Biomedical optics express · 2026Article
- Structural analysis of cone photoreceptors in AO-OCT enables S-cone identification by a support vector machine classifier.Biomedical optics express · 2026Article
- Integrated fixation and stimulus channel for adaptive optics ophthalmoscopy.Biomedical optics express · 2025Article
- Image formation theory of optical coherence tomography with optical aberrations and its application to computational aberration correction.Biomedical optics express · 2025Article
- Optoretinography with actively stabilized adaptive optics optical coherence tomography.Biomedical optics express · 2025Article
- Phase-restoring subpixel image registration: enhancing motion detection performance in Fourier-domain optical coherence tomography.Journal of physics D: Applied physics · 2025Article
- Volumetric imaging of trabecular meshwork dynamic motion using 600 kHz swept source optical coherence tomography.Biomedical optics express · 2025Article
- Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy.Biomedical optics express · 2024Article
- Improved tracking of corneal immune cell dynamics usingBiomedical optics express · 2024Article
- Light-adapted flicker-optoretinography based on raster-scan optical coherence tomography towards clinical translation.Biomedical optics express · 2024Article
- Characterizing Presumed Displaced Retinal Ganglion Cells in the Living Human Retina of Healthy and Glaucomatous Eyes.Investigative ophthalmology & visual science · 2024Article
- Article
- Measurement of retinal blood flow precision in the human eye with multimodal adaptive optics imaging.Biomedical optics express · 2024Article
- Quantification of Human Photoreceptor-Retinal Pigment Epithelium Macular Topography with Adaptive Optics-Optical Coherence Tomography.Diagnostics (Basel, Switzerland) · 2024Article
- Generalized 3D registration algorithm for enhancing retinal optical coherence tomography images.Journal of biomedical optics · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
significanceAdaptive optics optical coherence tomography (AO-OCT) technology enables non-invasive, high-resolution three-dimensional (3D) imaging of the retina and promises earlier detection of ocular disease. However, AO-OCT data are corrupted by eye-movement artifacts that must be removed in post-processing, a process rendered time-consuming by the immense quantity of data.
aimTo efficiently remove eye-movement artifacts at the level of individual A-lines, including those present in any individual reference volume. APPROACH: We developed a registration method that cascades (1) a 3D B-scan registration algorithm with (2) a global A-line registration algorithm for correcting torsional eye movements and image scaling and generating global motion-free coordinates. The first algorithm corrects 3D translational eye movements to a single reference volume, accelerated using parallel computing. The second algorithm combines outputs of multiple runs of the first algorithm using different reference volumes followed by an affine transformation, permitting registration of all images to a global coordinate system at the level of individual A-lines.
resultsThe 3D B-scan algorithm estimates and corrects 3D translational motions with high registration accuracy and robustness, even for volumes containing microsaccades. Averaging registered volumes improves our image quality metrics up to 22 dB. Implementation in CUDA™ on a graphics processing unit registers a 512 × 512 × 512 volume in only 10.6 s, 150 times faster than MATLAB™ on a central processing unit. The global A-line algorithm minimizes image distortion, improves regularity of the cone photoreceptor mosaic, and supports enhanced visualization of low-contrast retinal cellular features. Averaging registered volumes improves our image quality up to 9.4 dB. It also permits extending the imaging field of view (∼2.1 × ) and depth of focus (∼5.6 × ) beyond what is attainable with single-reference registration.
conclusionsWe can efficiently correct eye motion in all 3D at the level of individual A-lines using a global coordinate system.
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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.