摘要
提出一种冠状动脉跟踪算法,算法以局部血管模型为基础,采用三维几何矩、多尺度Hessian矩阵分析以及血管滤波算子,估计最优尺度下血管的中轴点坐标、尺寸及方向.算法采用跟踪策略以改进其效率,由初始种子点出发,依次提取冠状动脉血管的中轴点,最终构成冠状动脉血管树.分叉点检测算法能够有效地检测出可能的分叉点,并提取分支血管的种子点坐标.实验结果表明,算法能够有效地提取多层CT数据中的冠状动脉中轴线.结合估计的血管尺寸,三维模型能清楚地显示冠状动脉的解剖结构.同时算法有较高的计算效率,在普通的PC平台上,其运行时间能够控制在数分钟内.
Cardiac muhi-slice computed tomography （MSCT） as a widely used non-invasive imaging modality for cardiovascular diseases diagnosis can image anatomical structures of the heart including cavities and coronary tree. In this paper, we present a new centerline extraction algorithm of coronary arteries in MSCT data sets. Based on a local vessel model, the algorithm uses the 3D geometrical moment operator, multi-scale Hessian matrix analysis and vessel filter to estimate the centroid coordinates, diameter and direction of the local vessel with the optimal scale. A tracing-based strategy is adopted to improve the algorithm＇ s efficiency. Beginning with interaetively initialized seed points, the extraction follows the local estimated direction to search the points of centerline consecutively. A bifurcation detection operator can locate the potential bifurcations and extract seed points of subordinate branches of a single centerline. Promising experimental results are presented finally by illustrating a hierarchical coronary centerline model combined with estimated local diameters. The extraction process can be achieved in few minutes for one volume on a standard PC platform.
出处
《应用科学学报》
CAS
CSCD
北大核心
2008年第4期370-377,共8页
Journal of Applied Sciences
关键词
冠状动脉
中轴线提取
多层CT
几何矩
多尺度
HESSIAN矩阵
coronary artery, centerline extraction, multi-slice computed tomography （MSCT）, geometricalmoment, multi-scale, Hessian matrix
