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基于视网膜眼底图像主要颞弓模型的增生性糖尿病性视网膜病变的计算机辅助诊断。

Computer-aided diagnosis of proliferative diabetic retinopathy via modeling of the major temporal arcade in retinal fundus images.

机构信息

Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada, T2N 1N4.

出版信息

J Digit Imaging. 2013 Dec;26(6):1124-30. doi: 10.1007/s10278-013-9592-9.

DOI:10.1007/s10278-013-9592-9
PMID:23579735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3824931/
Abstract

Monitoring the openness of the major temporal arcade (MTA) and how it changes over time could facilitate diagnosis and treatment of proliferative diabetic retinopathy (PDR). We present methods for user-guided semiautomated modeling and measurement of the openness of the MTA based on Gabor filters for the detection of retinal vessels, morphological image processing, and a form of the generalized Hough transform for the detection of parabolas. The methods, implemented via a graphical user interface, were tested with retinal fundus images of 11 normal individuals and 11 patients with PDR in the present pilot study on potential clinical application. A method of arcade angle measurement was used for comparative analysis. The results using the openness parameters of single- and dual-parabolic models as well as the arcade angle measurements indicate areas under the receiver operating characteristics of A z = 0.87, 0.82, and 0.80, respectively. The proposed methods are expected to facilitate quantitative analysis of the architecture of the MTA, as well as assist in detection and diagnosis of PDR.

摘要

监测主要颞部弓(MTA)的开放程度及其随时间的变化,有助于增殖型糖尿病视网膜病变(PDR)的诊断和治疗。我们提出了一种基于 Gabor 滤波器检测视网膜血管、形态图像处理以及广义霍夫变换形式检测抛物线的用户引导半自动建模和测量 MTA 开放程度的方法。该方法通过图形用户界面实现,并在本研究中对 11 名正常人和 11 名 PDR 患者的眼底图像进行了测试,以评估其在临床应用中的潜力。我们还使用了一种弧形角度测量方法进行了比较分析。使用单抛物线和双抛物线模型的开放度参数以及弧形角度测量的结果,得到的受试者工作特征曲线下面积分别为 0.87、0.82 和 0.80。预计所提出的方法将有助于对 MTA 结构进行定量分析,并辅助 PDR 的检测和诊断。

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本文引用的文献

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Computer-aided diagnosis of proliferative diabetic retinopathy.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1438-41. doi: 10.1109/EMBC.2012.6346210.
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Information fusion for diabetic retinopathy CAD in digital color fundus photographs.数字彩色眼底照片中糖尿病视网膜病变计算机辅助诊断的信息融合
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Teleophthalmology screening for diabetic retinopathy through mobile imaging units within Canada.通过加拿大境内的移动成像设备进行糖尿病视网膜病变的远程眼科筛查。
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Segmentation of candidate dark lesions in fundus images based on local thresholding and pixel density.基于局部阈值处理和像素密度的眼底图像中候选暗病变分割
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