运用定积分测量冠状动脉狭窄程度的方法

Method of measuring degree of coronary artery stenosis using definite integral

为提高术前对冠状动脉病变部分狭窄程度测量的准确度,提出一种运用定积分测量冠状动脉狭窄程度的方法。通过视觉化工具函式库(VTK)和美国国家卫生院下属国立图书馆开发的医学图像分割与配准算法研发平台(ITK)对目标血管进行三维重建;运用一种基于跟踪点的冠状动脉中心线提取算法,提取目标血管的中心线;从重建的血管三维模型的水平面入手,对水平面图像,以中心线为原点建立直角坐标系,把图像分割到4个象限中去,在每个象限里运用定积分定义求出血管内血流区域与坐标系所围成的图形面积;通过内、外面积差与血管冠状截面面积的比值得到血管的狭窄度。临床数据实验结果表明,该算法具有良好的有效性和准确性,有助于冠心病的早期发现、诊断和治疗,给临床诊断和术前规划提供了有效的依据,提高了冠心病患者的生存机率和生活质量。

To improve the accuracy of measurement of partial stenosis degree of coronary artery disease before operation,a method of measuring the degree of coronary artery stenosis was proposed using the definite integral.Visualization toolkit（VTK）and insight segmentation and registration toolkit（ITK）were used for 3D reconstruction of the vessels.A coronary artery centerline extraction algorithm based on point tracking was used to extract the center line of the target vessel.Based on the coronal of the threedimensional model of the blood vessels in the center line for the origin of a Cartesian coordinate system,the image was divided into four quadrants.In each quadrant,the area surrounded by vascular blood flow in the region and the coordinate system was calculated.Vascular stenosis was calculated using the ratio of the difference of inside and outside and the cross-sectional area of the coronary arteries.Clinical comparative experimental results show that the proposed algorithm has good effectiveness and accuracy,and it is helpful to the early detection,diagnosis and treatment of coronary heart disease.Accordingly,it improves the survival rate and quality of life of patients with coronary heart disease.