Advanced image processing for optical coherence tomographic angiography of macular diseases

被引：126

作者：

Zhang, Miao ^{[1
]}

Wang, Jie ^{[1
]}

Pechauer, Alex D. ^{[1
]}

Hwang, Thomas S. ^{[1
]}

Gao, Simon S. ^{[1
]}

Liu, Liang ^{[1
]}

Liu, Li ^{[1
]}

Bailey, Steven T. ^{[1
]}

Wilson, David J. ^{[1
]}

Huang, David ^{[1
]}

Jia, Yali ^{[1
]}

机构：

[1] Oregon Hlth & Sci Univ, Casey Eye Inst, Portland, OR 97239 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2015年 / 6卷 / 12期

关键词：

AMPLITUDE-DECORRELATION ANGIOGRAPHY; AUTOMATIC SEGMENTATION; DIABETIC-RETINOPATHY; CHOROIDAL NEOVASCULARIZATION; ABNORMALITIES; ALGORITHM; RETINA; LAYERS; RISK;

D O I：

10.1364/BOE.6.004661

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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

引用

页码：4661 / 4675

页数：15

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