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Model-based estimation of coronary vessel diameter in angiographic images

机译:基于模型的血管造影图像中冠状动脉直径的估计

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摘要

An optimization method to detect edges of coronary vessels in angiographic images is described. The method is based on an elliptical model of a vessel's cross-section. The method consists of two stages: (1) rapid and crude estimation of centerline and radius, and (2) parameter estimation for elliptical vessel model based on densitometrical estimation of the vessel cross-sectional curvature. The optimization method is partly analytical and partly numerical resulting in short computational time. The algorithm was tested extensively using real and synthesized images. This paper includes an example of a real image analysis.
机译:描述了一种在血管造影图像中检测冠状动脉边缘的优化方法。该方法基于船只横截面的椭圆模型。该方法包括两个阶段:(1)快速粗略地估计中心线和半径,以及(2)基于血管横截面曲率的光密度估计的椭圆形容器模型的参数估计。该优化方法部分是分析性的,部分是数值的,从而缩短了计算时间。使用真实和合成图像对算法进行了广泛测试。本文包括一个真实图像分析的示例。

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