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Algorithms for the extraction of various diameter vessels.

机译:提取各种直径血管的算法。

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In this communication we propose a new and automatic strategy for the multi-scale extraction of vessels. The objective is to obtain a good representation of the vessels. That is to say a precise characterization of their centerlines and diameters. The adopted solution requires the generation of an image scale-space in which the various levels of details allow to process arteries of any diameter. The proposed method is implemented using the Partial Differential Equations (PDE) and differential geometry formalisms. The differential geometry allows, by the computation of a new valley response, to characterize the centerlines of vessels as well as the bottom lines of the valleys of the image surface. The information given by the centerlines and valley response at different scales are used to obtain the 2D multi-scale centerlines of the arteries. To that purpose, we construct a multi-scale adjacency graph which permits to keep the K strongest detections. Then, the detection we obtain is coded as an attributed graph. The suggested algorithm is applied in the scope of two kinds of angiograms: coronaries and retinal angiograms.
机译:在此交流中,我们提出了一种用于多尺度提取血管的新型自动策略。目的是获得对血管的良好表示。也就是说,精确地表征了它们的中心线和直径。所采用的解决方案需要生成图像比例空间,其中各种细节水平都可以处理任何直径的动脉。所提出的方法是使用偏微分方程(PDE)和微分几何形式主义来实现的。通过计算新的谷值响应,微分几何形状可以表征血管的中心线以及图像表面谷值的底线。由中心线和谷响应在不同尺度上给出的信息用于获得动脉的二维多尺度中心线。为此,我们构造了一个多尺度邻接图,该图可以保持K个最强检测。然后,将我们获得的检测结果编码为属性图。所建议的算法适用于两种血管造影术:冠状动脉造影术和视网膜血管造影术。

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