基于Hessian矩阵的DSA图像冠状动脉直径的测量

【摘要】目的:通过对冠状动脉血管的数字减影血管造影技术（DSA）图像进行分析处理，得到血管的骨架与中心线，从而实现血管直径测量。方法:采用MATLAB语言进行图像处理，在对DSA图像平滑及均衡化处理后，得到血管的骨架与中心线。以Hessian矩阵的特征向量为参考方向，做与血管垂直的直线，利用该直线与血管骨架的两个交点求得血管直径。结果:实现冠状动脉血管中心线、骨架的自动提取和冠状动脉血管直径的自动测量。结论:对于随机抽取的DSA图像，该方法均取得理想的冠状动脉血管中心线与骨架，以及精确的冠状动脉血管直径数值，可为操作人员提供丰富的信息，具有一定的实用价值。

Measurement of coronary artery diameter on DSA image based on Hessian matrix

Abstract: Objective To obtain the skeleton and centerline of coronary artery by the analysis and processing on digital subtraction angiography (DSA) images, so as to realize the measurement of coronary artery diameter. Methods Image processing was performed with the use of MATLAB language. After the smoothing and equalization on DSA images, the skeleton and centerline of coronary artery were obtained. Taking the eigenvector of Hessian matrix as the reference direction, the diameter of coronary artery was calculated by the intersection of the straight line vertical to blood vessels and the coronary artery skeleton. Results The automatic extraction of the skeleton and centerline of coronary artery and the automatic measurement of coronary artery diameter were realized. Conclusion For randomly selected DSA images, the proposed method can be used to obtain not only ideal coronary artery centerline and skeleton, but also precise coronary artery diameter, thereby providing operating personnel with abundant information, with certain application value.