Comprehensive automatic assessment of retinal vascular abnormalities for computer-assisted retinopathy grading.
Comprehensive automatic assessment of retinal vascular abnormalities for computer-assisted retinopathy grading.
复制标题
计算机辅助视网膜病变分级的视网膜血管异常综合自动评估。
DOI：
10.1109/embc.2014.6945074
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Barriga,Simon
中科院分区：
文献类型：
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作者：
Joshi,Vinayak;Agurto,Carla;VanNess,Richard;Nemeth,Sheila;Soliz,Peter;Barriga,Simon
视网膜上出现的系统性疾病的最重要的迹象之一是血管异常，例如高血压性视网膜病变。由人类读者对眼底图像的手动分析是定性的，并且缺乏准确性、一致性和可重复性。据报道，目前用于血管评价的半自动方法可提高准确性并减少阅片者的变异性，但需要大量的阅片者交互;因此限制了软件辅助的效率。因此，自动化具有双重前景。首先，在提高准确性的同时减少可变性，其次，提高效率。在本文中，我们提出了全自动的软件作为第二个读者系统的全面评估视网膜血管，这有助于读者在眼底图像血管异常的定量表征。该系统为阅片师提供血管形态的客观测量，例如迂曲度、分支角度以及异常区域的突出显示，例如动静脉切口、铜和银接线以及视网膜栓塞;以便阅片师做出最终筛选决定。为了测试我们的系统的有效性，我们评估了一个新认证的视网膜阅读器的性能变化时，分级一组40色眼底图像的软件的帮助和没有。结果表明，在软件辅助下，读片员在检测血管异常、确定视网膜病变和阅读时间的准确性方面的表现有所改善。该系统使阅片者能够以更短的阅读时间进行高准确性和一致性的计算机辅助血管评估。
One of the most important signs of systemic disease that presents on the retina is vascular abnormalities such as in hypertensive retinopathy. Manual analysis of fundus images by human readers is qualitative and lacks in accuracy, consistency and repeatability. Present semi-automatic methods for vascular evaluation are reported to increase accuracy and reduce reader variability, but require extensive reader interaction; thus limiting the software-aided efficiency. Automation thus holds a twofold promise. First, decrease variability while increasing accuracy, and second, increasing the efficiency. In this paper we propose fully automated software as a second reader system for comprehensive assessment of retinal vasculature; which aids the readers in the quantitative characterization of vessel abnormalities in fundus images. This system provides the reader with objective measures of vascular morphology such as tortuosity, branching angles, as well as highlights of areas with abnormalities such as artery-venous nicking, copper and silver wiring, and retinal emboli; in order for the reader to make a final screening decision. To test the efficacy of our system, we evaluated the change in performance of a newly certified retinal reader when grading a set of 40 color fundus images with and without the assistance of the software. The results demonstrated an improvement in reader's performance with the software assistance, in terms of accuracy of detection of vessel abnormalities, determination of retinopathy, and reading time. This system enables the reader in making computer-assisted vasculature assessment with high accuracy and consistency, at a reduced reading time.