ArticleBiomedical optics express2017
Automated segmentation and quantification of OCT angiography for tracking angiogenesis progression.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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Who cites it
21 citing papers in PubMed.
- Endocrine modulation of cortical and retinal baseline perfusion across the menstrual cycle.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Dual acquisition scheme-based optical coherence tomography 3D angiography.Journal of biomedical optics · 2025Article
- Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature usingNeuroinformatics · 2025Article
- Impairment of cerebral vascular reactivity and resting blood flow in early-staged transgenic AD mice:Research square · 2023Article
- Dynamic 3D imaging of cerebral blood flow in awake mice using self-supervised-learning-enhanced optical coherence Doppler tomography.Communications biology · 2023Article
- Quantification metrics for telangiectasia using optical coherence tomography.Scientific reports · 2022Article
- Deep-learning-based motion correction in optical coherence tomography angiography.Journal of biophotonics · 2021Article
- Micron-scale human enamel layer characterization after orthodontic bracket debonding by intensity-based layer segmentation in optical coherence tomography images.Scientific reports · 2021Article
- Quantitative Assessment of Experimental Ocular Inflammatory Disease.Frontiers in immunology · 2021Review
- Deep learning toolbox for automated enhancement, segmentation, and graphing of cortical optical coherence tomography microangiograms.Biomedical optics express · 2020Article
- Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics.Translational vision science & technology · 2020Article
- Intact in vivo visualization of telencephalic microvasculature in medaka using optical coherence tomography.Scientific reports · 2020Article
- A deep-learning-based approach for noise reduction in high-speed optical coherence Doppler tomography.Journal of biophotonics · 2020Article
- Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning.Translational vision science & technology · 2020Article
- Dynamic imaging and quantification of subcellular motion with eigen-decomposition optical coherence tomography-based variance analysis.Journal of biophotonics · 2019Article
- Automatic skin lesion area determination of basal cell carcinoma using optical coherence tomography angiography and a skeletonization approach: Preliminary results.Journal of biophotonics · 2019Article
- Automated motion-artifact correction in an OCTA image using tensor voting approach.Applied physics letters · 2018Article
- Comparison of Optical Coherence Tomography Angiography to Indocyanine Green Angiography and Slit Lamp Photography for Corneal Vascularization in an Animal Model.Scientific reports · 2018Observational
- Enhancement of morphological and vascular features in OCT images using a modified Bayesian residual transform.Biomedical optics express · 2018Article
- Retinal Vascular Imaging in Vascular Cognitive Impairment: Current and Future Perspectives.Journal of experimental neuroscience · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Angiogenesis is recognized as a crucial component of many neurovascular diseases such as stroke, carcinogenesis, and neurotoxicity of abused drug. The ability to track angiogenesis will facilitate a better understanding of disease progression and assessment of therapeutical effects. Optical coherence angiography (OCTA) is a promising tool to assess 3D microvascular networks due to its micron-level resolution, high sensitivity, and relatively large field of view. However, quantitative OCTA image analysis for characterization of microvascular network changes, including accurately tracking the progression of angiogenesis, remains a challenge. In this paper, we proposed an angiogenesis tracking algorithm which combines improved vessel segmentation and brain boundary detection methods to significantly enhance time-lapse OCTA images for quantification of microvascular network changes. Specifically, top-hat enhancement and optimally oriented flux (OOF) algorithms facilitated accurate segmentation of cerebrovascular networks (including capillaries); graph-search based brain boundary detection enabled coregistration of 3D OCTA data sets from different time points for accurate vessel density assessment and analysis of their changes in various cortical layers. Results show that this algorithm significantly enhanced the accuracy of vessel segmentation compared to Hessian method. Application to chronic cocaine intoxication study shows effectively reduced errors in chronic tracking of microvasculature and more accurate assessment of vessel density changes induced by angiogenesis.
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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 Socratic graph.