基于Hessian矩阵的冠状动脉中心线的跟踪算法

冠状动脉血管造影对医生临床诊断心血管疾病非常有帮助。在冠状动脉造影图像上对冠脉中心线的正确提取是冠脉边缘定位和三维重建的基础。该文提出的中心线提取方法是对经典Sun算法的改进,此方法结合了Hessian矩阵特征向量和Canny算子来进行准确提取。实验结果表明:结合Hessian矩阵特征向量的方向,较好地解决了冠脉造影图像中冠脉曲率变化剧烈而跟踪不准确的情况;结合Canny算子的半径计算,较好地解决了冠脉造影图像中冠脉重叠和交叉出现时错误跟踪的情况。因此,与经典Sun算法相比,本文提出的方法有很好的鲁棒性和准确性。

Adaptive tracking extraction of vessel centerlines in coronary arteriograms using Hessian matrix

A method for accurate extraction of the coronary arterial centerline was presented for automated positioning of the coronary vessel borders and 3-D reconstruction to aid clinical diagnoses of cardiovascular diseases.The method is an improvement of the Sun arithmetic.The method implements an accurate extraction using Hessian matrix eigenvectors and the Canny operator.The test results show that the determination of the centerline point directions by the Hessian matrix eigenvector resolves tracking inaccuracies resulting from abrupt changes of the arterial curvature.The calculation of the artery radius by the Canny operator resolves interruptions of the tracking resulting from the superposition and overlapping of the coronary artery.The method has better robustness and accuracy than the Sun algorithm.