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Automatic three-dimensional segmentation combined with in vivo microvascular network imaging of human retina by intensity-based Doppler variance optical coherence tomography

机译:基于强度的多普勒方差光学相干断层扫描技术对人体视网膜进行自动三维分割与体内微血管网络成像相结合

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摘要

Optical coherence tomography (OCT) is a noninvasive method for retinal imaging. In this work, we present an in vivo human retinal microvascular network measurement by an intensity-based Doppler variance (IBDV) based on swept-source OCT. In addition, an automatic three-dimensional (3-D) segmentation method was used for segmenting intraretinal layers. The microvascular networks were divided into six layers by visualizing of each individual layer with enhanced imaging contrast. This method has potential for earlier diagnosis and precise monitoring in retinal vascular diseases.
机译:光学相干断层扫描(OCT)是一种用于视网膜成像的非侵入性方法。在这项工作中,我们提出了一种基于体内源性多普勒方差(IBDV)的体内人视网膜微血管网络测量方法,该技术基于扫频源OCT。此外,自动三维(3-D)分割方法用于分割视网膜内层。通过以增强的成像对比度可视化每个单独的层,将微血管网络分为六层。这种方法具有早期诊断和精确监测视网膜血管疾病的潜力。

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