ArticleQuantitative imaging in medicine and surgery2021
Robust three-dimensional registration on optical coherence tomography angiography for speckle reduction and visualization.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Cross-Device Field-of-View Scale Differences in Clinical OCT Angiography: Phantom Calibration and Large-Scale Clinical Validation.medRxiv : the preprint server for health sciences · 2026Article
- Volumetric montaging of optical coherence tomography in human retinas.bioRxiv : the preprint server for biology · 2026Article
- Strip-Scanning for Efficient Widefield Retinal OCTA Mosaicking.Translational vision science & technology · 2026Article
- Widefield OCT angiography.Progress in retinal and eye research · 2025Review
- Phase-restoring subpixel image registration: enhancing motion detection performance in Fourier-domain optical coherence tomography.Journal of physics D: Applied physics · 2025Article
- Choroidal thinning can be assessed through facial video analysis.Quantitative imaging in medicine and surgery · 2025Article
- Calcified Drusen Prevent the Detection of Underlying Choriocapillaris Using Swept-Source Optical Coherence Tomography Angiography.Investigative ophthalmology & visual science · 2024Article
- Generalized 3D registration algorithm for enhancing retinal optical coherence tomography images.Journal of biomedical optics · 2024Article
- Rigid alignment method for secondary analyses of optical coherence tomography volumes.Biomedical optics express · 2024Article
- OCT angiography and its retinal biomarkers [Invited].Biomedical optics express · 2023Review
- Quantitative assessment of choriocapillaris flow deficits and type 1 macular neovascularization growth in age-related macular degeneration.Scientific reports · 2023Article
- High resolution imaging and quantification of the nailfold microvasculature using optical coherence tomography angiography (OCTA) and capillaroscopy: a preliminary study in healthy subjects.Quantitative imaging in medicine and surgery · 2022Article
- Numerical calibration method for a multiple spectrometer-based OCT system.Biomedical optics express · 2022Article
- Deep-learning approach for automated thickness measurement of epithelial tissue and scab using optical coherence tomography.Journal of biomedical optics · 2022Article
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundIn the clinical applications of optical coherence tomography angiography (OCTA), the repeated scanning and averaging method can provide better contrast with reduced speckle noises in the final results, which are useful for visualizing and quantifying vascular components with high accuracy, reproducibility, and reliability. However, the inevitable patient motion presents a challenge to this method. The objective of this study is to meet this challenge by introducing a 3D registration method to register optical coherence tomography (OCT)/OCTA scans for precise volume averaging of multiple scans to improve the signal-to-noise ratio (SNR) and increase quantification accuracy.
methodsThe proposed method utilized both rigid affine transformation and non-rigid B-spline transformation in which their parameters were optimized and calculated by the average stochastic gradient descent on OCT structural images. In addition, we also introduced a multi-level resolution approach to further improve the robustness and computational speed of our proposed method. The imaging performance was tested on
resultsFive subjects were enrolled in this study for obtaining
conclusionsThe proposed 3D registration and averaging method is effective in reducing speckle noises and suppressing motion artifacts, thereby improving SNR, PSNR and NCC metrics for final averaged images. It is expected that the proposed algorithm would be practically useful in better visualization and more reliable quantification of
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