Advanced image processing for optical coherence tomographic angiography of macular diseases
Advanced image processing for optical coherence tomographic angiography of macular diseases
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DOI：
10.1364/boe.6.004661
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发表时间：
2015-12-01
影响因子：
3.4
通讯作者：
Jia, Yali
中科院分区：
文献类型：
--
作者：
Zhang, Miao;Wang, Jie;Jia, Yali
本文综述了用于黄斑疾病（包括年龄相关性黄斑变性（AMD）和糖尿病视网膜病变（DR））的三维（3D）光学相干断层扫描（OCT）血管造影的先进图像处理。提出了一种基于方向图搜索的快速视网膜分层自动分割算法，用于在存在病变的情况下将三维血流数据分割为不同的层。智能手动校正方法也系统地解决，它可以在一个单一的帧上快速完成，然后自动传播到完整的3D体积，精度优于1像素。方法通过对视网膜、脉络膜新生血管、视网膜缺血、黄斑水肿等异常的观察和分析，为OCT血管成像的临床应用提供依据。(C)2015美国光学学会
This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography. (C) 2015 Optical Society of America