Automated detection of shadow artifacts in optical coherence tomography angiography

被引：38

作者：

Camino, Acner ^{[1
]}

Jia, Yali ^{[1
,2
]}

Yu, Jeffrey ^{[1
]}

Wang, Jie ^{[1
,2
]}

Liu, Liang ^{[1
]}

Huang, David ^{[1
]}

机构：

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

[2] Oregon Hlth & Sci Univ, Dept Biomed Engn, Portland, OR 97239 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2019年 / 10卷 / 03期

基金：

美国国家卫生研究院;

关键词：

MOTION CORRECTION; VISUALIZATION; INTENSITY;

D O I：

10.1364/BOE.10.001514

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Frequently, when imaging retinal vasculature with optical coherence tomography angiography (OCTA) in diseased eyes, there are unavoidable obstacles to the propagation of light such as vitreous floaters or the pupil boundary. These obstacles can block the optical coherence tomography (OCT) beam and impede the visualization of the underlying retinal microcirculation. Detecting these shadow artifacts is especially important in the quantification of metrics that assess retinal disease progression because they might masquerade as regional perfusion loss. In this work, we present an algorithm to identify shadowed areas in OCTA of healthy subjects as well as patients with diabetic retinopathy, uveitis and age-related macular degeneration. The aim is to exclude these areas from analysis so that the overall OCTA parameters are minimally affected by shadow artifacts. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

收藏

页码：1514 / 1531

页数：18

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