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Accuracy and Reliability in Differentiating Retinal Arteries and Veins Using Widefield En Face OCT Angiography.使用超广角正面光学相干断层扫描血管造影术鉴别视网膜动脉和静脉的准确性和可靠性
Transl Vis Sci Technol. 2019 Jun 28;8(3):60. doi: 10.1167/tvst.8.3.60. eCollection 2019 May.
2
Differentiating Veins From Arteries on Optical Coherence Tomography Angiography by Identifying Deep Capillary Plexus Vortices.通过识别深层毛细血管丛涡旋区分光学相干断层血管造影中的静脉和动脉。
Am J Ophthalmol. 2019 Nov;207:363-372. doi: 10.1016/j.ajo.2019.06.009. Epub 2019 Jun 19.
3
Near infrared oximetry-guided artery-vein classification in optical coherence tomography angiography.近红外血氧定量法引导的光学相干断层扫描血管造影中的动静脉分类。
Exp Biol Med (Maywood). 2019 Jul;244(10):813-818. doi: 10.1177/1535370219850791. Epub 2019 May 14.
4
OCT feature analysis guided artery-vein differentiation in OCTA.光学相干断层扫描（OCT）特征分析指导光学相干断层扫描血管造影（OCTA）中的动静脉区分。
Biomed Opt Express. 2019 Mar 26;10(4):2055-2066. doi: 10.1364/BOE.10.002055. eCollection 2019 Apr 1.
5
Differential Artery-Vein Analysis Improves the Performance of OCTA Staging of Sickle Cell Retinopathy.差异动静脉分析可提高镰状细胞视网膜病变光学相干断层扫描血管造影分期的性能。
Transl Vis Sci Technol. 2019 Mar 26;8(2):3. doi: 10.1167/tvst.8.2.3. eCollection 2019 Mar.
6
Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography.彩色眼底图像引导的光学相干断层扫描血管造影的动静脉区分。
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Retinal artery/vein classification using genetic-search feature selection.基于遗传搜索特征选择的视网膜动脉/静脉分类。
Comput Methods Programs Biomed. 2018 Jul;161:197-207. doi: 10.1016/j.cmpb.2018.04.016. Epub 2018 Apr 24.
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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.用于视网膜图像分类的多分类深度学习神经网络：一项使用小型数据库的初步研究。
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定量视网膜成像中的动脉-静脉差异分析：综述

Differential artery-vein analysis in quantitative retinal imaging: a review.

作者信息

Alam Minhaj Nur, Le David, Yao Xincheng

机构信息

Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.

Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, USA.

出版信息

Quant Imaging Med Surg. 2021 Mar;11(3):1102-1119. doi: 10.21037/qims-20-557.

DOI:10.21037/qims-20-557
PMID:33654680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7829162/
Abstract

Quantitative retinal imaging is essential for eye disease detection, staging classification, and treatment assessment. It is known that different eye diseases or severity stages can affect the artery and vein systems in different ways. Therefore, differential artery-vein (AV) analysis can improve the performance of quantitative retinal imaging. In this article, we provide a brief summary of technical rationales and clinical applications of differential AV analysis in fundus photography, optical coherence tomography (OCT), and OCT angiography (OCTA).

摘要

定量视网膜成像对于眼部疾病的检测、分期分类及治疗评估至关重要。众所周知，不同的眼部疾病或严重程度阶段会以不同方式影响动脉和静脉系统。因此，动静脉（AV）差异分析可提高定量视网膜成像的性能。在本文中，我们简要总结了眼底摄影、光学相干断层扫描（OCT）和光学相干断层扫描血管造影（OCTA）中动静脉差异分析的技术原理及临床应用。