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通过测量血管迂曲度对早产儿眼底图像中的加性疾病进行计算机辅助诊断。

Computer-aided diagnosis of plus disease in retinal fundus images of preterm infants via measurement of vessel tortuosity.

作者信息

Oloumi Faraz, Rangayyan Rangaraj M, Ells Anna L

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:4338-42. doi: 10.1109/EMBC.2015.7319355.

DOI:10.1109/EMBC.2015.7319355
PMID:26737255
Abstract

An increase in retinal vessel tortuosity can be indicative of the presence of various diseases including retinopathy of prematurity (ROP). Accurate detection and measurement of such changes could help in computer-aided diagnosis of plus disease, which warrants treatment of ROP. We present image processing methods for detection and segmentation of retinal vessels, quantification of vessel tortuosity, and diagnostic-decision-making criteria that incorporate the clinical definition of plus-diagnosis. The obtained results using 110 retinal fundus images of preterm infants (91 without plus and 19 with plus) provide high sensitivity = 0.89 (17/19) and excellent specificity = 0.95 (86/91) in the diagnosis of plus disease.

摘要

视网膜血管迂曲度增加可能表明存在包括早产儿视网膜病变(ROP)在内的多种疾病。准确检测和测量此类变化有助于对增值性病变进行计算机辅助诊断,而增值性病变是ROP需要治疗的指征。我们提出了用于检测和分割视网膜血管、量化血管迂曲度以及纳入增值性病变诊断临床定义的诊断决策标准的图像处理方法。使用110张早产儿视网膜眼底图像(91张无增值性病变,19张有增值性病变)获得的结果在增值性病变诊断中提供了高灵敏度=0.89(17/19)和出色的特异性=0.95(86/91)。

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Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity.通过量化血管迂曲度对早产儿视网膜眼底图像中的视网膜病变进行计算机辅助诊断。
J Med Imaging (Bellingham). 2016 Oct;3(4):044505. doi: 10.1117/1.JMI.3.4.044505. Epub 2016 Dec 15.