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A surface-based method for detection of coronary vessel boundaries in poor quality X-ray angiogram images

机译:基于表面的低质量X射线血管造影图像中冠状动脉边界检测方法

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摘要

In this paper, we propose a surface-based method for simultaneous detection of left and right coronary borders that is suitable for analysis of poor quality X-ray angiogram images. Coronary artery is modelled with a 3D generalized cylinder(GC) with elliptic cross-sections. Based on this model, we developed a 2D surface function for the projection intensity distribution of a vessel part. The parameters associated with vessel edges are estimated from this model. The model takes into account local background intensity, noise and blurring.
机译:在本文中,我们提出了一种基于表面的方法,用于同时检测左右冠状动脉边界,适用于分析质量较差的X射线血管造影图像。用具有椭圆形横截面的3D广义圆柱体(GC)建模冠状动脉。基于此模型,我们开发了二维曲面函数以用于血管部位的投影强度分布。从该模型估计与血管边缘相关的参数。该模型考虑了局部背景强度,噪声和模糊。

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