Major temporal arcade separation in angiography images of retina using the Hough transform and connected components

Farshad Nabi, H. Yousefi, H. Soltanian-Zadeh
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引用次数: 1

Abstract

Structural analysis of the vascular architecture of the retina is useful in facilitate the diagnosis of retinopathy disease. Retinopathy can affects the blood flow velocity. Measuring blood flow velocity in major temporal arcade (MTA) vessels in retina is one of the approaches to identify blood flow velocity changes. Hence separation of MTA vessel is a necessary step in blood flow velocity computation. We propose methods for separation of the MTA. We use Gabor filters to detect retinal vessels and Hough transform to model the MTA. Afterwards we use the MTA model to find initial point of MTA. Next we take advantage of connected components to track temporal arcade vessel, and separate the MTA. Results obtained with applying our algorithm to 24 clinical angiography images, in which traces of MTA was drawn with an ophthalmologist expert, indicating 92% correct separation of MTA.
使用霍夫变换和连接分量的视网膜血管造影图像中的主要时间拱廊分离
视网膜血管结构的结构分析有助于视网膜病变的诊断。视网膜病变会影响血流速度。测量视网膜颞拱廊(MTA)大血管血流速度是识别血流速度变化的方法之一。因此,MTA血管的分离是血流速度计算的必要步骤。我们提出了分离MTA的方法。我们使用Gabor滤波器检测视网膜血管,并使用Hough变换对MTA进行建模。然后利用MTA模型求出MTA的初始点。接下来我们利用连接的组件来追踪颞拱廊血管,并分离MTA。将该算法应用于24张临床血管造影图像,在眼科专家的指导下绘制了MTA的痕迹,MTA的分离正确率达到92%。
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