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An automated method for simultaneous detection of left and right coronary borders

机译:一种用于同时检测左右冠状动脉边界的自动化方法

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Summary form only given. An automated method for simultaneous detection of both coronary borders from angiograms is developed that produces detected borders that are optimal when taken as a pair. In this method, a two-dimensional edge operator was applied to cine frames digitized at 3* into a 512*512*8 matrix. The resulting edge images were resampled perpendicular to the vessel center-line and the resampled profiles were used to construct a three-dimensional directed graph. An optimal path through the graph, representing a pair of coronary borders, was found using a minimum cost search algorithm. Coronary borders detected by the method were visually compared by an observer who was unaware of the method of analysis. In the set of 19 'difficult' images, the method yielded superior results in 8 of 19 images, equivalent results in 10 images, and a poorer result in 1 image.
机译:摘要表格仅给出。开发了一种用于同时检测来自血管造影的冠状动脉边界的自动化方法,其产生当作为对时的最佳的检测到的边界。在该方法中,将二维边缘操作器应用于以3 *数字化的调速帧中的512 * 512 * 8矩阵。得到的边缘图像垂直于血管中心线重新采样,并采样的轮廓用于构建三维定向图。使用最小成本搜索算法找到代表一对冠状动脉边界的图形的最佳路径。通过该方法检测到的冠状动脉邻逆转录,观测到观察者,他没有意识到分析方法。在19个“困难”图像集中,该方法产生了优异的8个图像中的8个图像,等效结果在10个图像中,并且较差的导致1图像。

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