运用定积分测量冠状动脉狭窄程度的方法

发布时间：2018-04-21 15:30

  本文选题：冠状动脉 + 中心线　； 参考：《计算机工程与设计》2017年10期

【摘要】：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。
[Abstract]:In order to improve the accuracy of preoperative measurement of the degree of coronary artery stenosis, a new method was proposed to measure the degree of coronary artery stenosis with definite score. Three dimensional reconstruction of target blood vessels was carried out by visual tool library (VTK) and the medical image segmentation and registration algorithm development platform developed by the National Library of the National Institutes of Health of the United States. Using an algorithm of coronary artery centerline extraction based on tracking point, extracting the center line of target vessel, starting with the horizontal plane of the reconstructed three-dimensional model of blood vessel, establishing the right-angle coordinate system for the horizontal plane image with the center line as the origin. The image is segmented into four quadrants, and the area of blood flow in each quadrant is calculated by the definition of definite integral, and the degree of vessel stenosis is obtained by the ratio of internal and external area difference to the area of coronary section of blood vessel. The experimental results of clinical data show that the algorithm is effective and accurate, which is helpful to the early detection, diagnosis and treatment of coronary heart disease, and provides an effective basis for clinical diagnosis and preoperative planning. The survival rate and quality of life of patients with coronary heart disease were improved.
【作者单位】： 上海大学计算机工程与科学学院;上海交通大学医学院附属瑞金医院计算机中心;
【基金】：2015年度上海大学电影学高峰学科项目成果基金项目(n.13-a303-15-w23) 上海市信息化发展专项资金基金项目(201403014)
【分类号】：R543.3;TP391.41
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本文编号：1783020