ArticleJournal of biomedical optics2017
Automatic motion correction for in vivo human skin optical coherence tomography angiography through combined rigid and nonrigid registration.
Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics.Research (Washington, D.C.) · 2025Article
- Quality control in clinical raster-scan optoacoustic mesoscopy.Photoacoustics · 2024Article
- Feasibility of deep learning-based polarization-sensitive optical coherence tomography angiography for imaging cutaneous microvasculature.Biomedical optics express · 2023Article
- Functional OCT angiography reveals early retinal neurovascular dysfunction in diabetes with capillary resolution.Biomedical optics express · 2023Article
- Deep-learning approach for automated thickness measurement of epithelial tissue and scab using optical coherence tomography.Journal of biomedical optics · 2022Article
- Deep-learning-based motion correction in optical coherence tomography angiography.Journal of biophotonics · 2021Article
- Model-based optical coherence tomography angiography enables motion-insensitive vascular imaging.Biomedical optics express · 2021Article
- Robust three-dimensional registration on optical coherence tomography angiography for speckle reduction and visualization.Quantitative imaging in medicine and surgery · 2021Article
- Automated vessel diameter quantification and vessel tracing for OCT angiography.Journal of biophotonics · 2020Article
- Ultrahigh-resolution optical coherence tomography/angiography with an economic and compact supercontinuum laser.Biomedical optics express · 2019Article
- 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
- Microvascular imaging of the skin.Physics in medicine and biology · 2019Review
- Accurate estimation of choriocapillaris flow deficits beyond normal intercapillary spacing with swept source OCT angiography.Quantitative imaging in medicine and surgery · 2018Article
- Vascular patterning of subcutaneous mouse fibrosarcomas expressing individual VEGF isoforms can be differentiated using angiographic optical coherence tomography.Biomedical optics express · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
When using optical coherence tomography angiography (OCTA), the development of artifacts due to involuntary movements can severely compromise the visualization and subsequent quantitation of tissue microvasculatures. To correct such an occurrence, we propose a motion compensation method to eliminate artifacts from human skin OCTA by means of step-by-step rigid affine registration, rigid subpixel registration, and nonrigid B-spline registration. To accommodate this remedial process, OCTA is conducted using two matching all-depth volume scans. Affine transformation is first performed on the large vessels of the deep reticular dermis, and then the resulting affine parameters are applied to all-depth vasculatures with a further subpixel registration to refine the alignment between superficial smaller vessels. Finally, the coregistration of both volumes is carried out to result in the final artifact-free composite image via an algorithm based upon cubic B-spline free-form deformation. We demonstrate that the proposed method can provide a considerable improvement to the final en face OCTA images with substantial artifact removal. In addition, the correlation coefficients and peak signal-to-noise ratios of the corrected images are evaluated and compared with those of the original images, further validating the effectiveness of the proposed method. We expect that the proposed method can be useful in improving qualitative and quantitative assessment of the OCTA images of scanned tissue beds.
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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.