Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography

被引：86

作者：

Liu, Li ^{[1
,2
]}

Gao, Simon S. ^{[1
]}

Bailey, Steven T. ^{[1
]}

Huang, David ^{[1
]}

Li, Dengwang ^{[2
]}

Jia, Yali ^{[1
]}

机构：

[1] Oregon Hlth & Sci Univ, Casey Eye Inst, Portland, OR 97201 USA

[2] Shandong Normal Univ, Coll Phys & Elect, Jinan, Peoples R China

来源：

BIOMEDICAL OPTICS EXPRESS | 2015年 / 6卷 / 09期

关键词：

AMPLITUDE-DECORRELATION ANGIOGRAPHY; MOTION-CORRECTION; HUMAN RETINA; PERFUSION;

D O I：

10.1364/BOE.6.003564

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Optical coherence tomography angiography has recently been used to visualize choroidal neovascularization (CNV) in participants with age-related macular degeneration. Identification and quantification of CNV area is important clinically for disease assessment. An automated algorithm for CNV area detection is presented in this article. It relies on denoising and a saliency detection model to overcome issues such as projection artifacts and the heterogeneity of CNV. Qualitative and quantitative evaluations were performed on scans of 7 participants. Results from the algorithm agreed well with manual delineation of CNV area. (C)2015 Optical Society of America

引用

页码：3564 / 3575

页数：12

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