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应用科学学报 ›› 2008, Vol. 26 ›› Issue (4): 370-0370 .

• 信号与信息处理 • 上一篇    下一篇

心脏多层CT数据中冠状动脉中轴的提取

杨冠羽1,2,3 Toumoulin Christine 2,3 舒华忠1,3 罗立民1,3   

  1. 1、 东南大学 影像科学技术实验室，210096，江苏 南京;
    2、 雷恩第一大学 信号与图像处理实验室（INSERM U642），雷恩，35042;
    3、中法生物医学信息研究中心 (CRIBS);
  • 收稿日期:2007-11-12 修回日期:2008-04-02 出版日期:2008-07-31 发布日期:2008-07-31

Coronary Centerline Extraction in Multi-slice CT Data Sets

Yang Guan-yu 1,2,3, Toumoulin Christine 2,3, Shu Hua-zhong 1,3, Luo Li-min 1,3
  

  1. 1. Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China
    2. INSERM U642-Laboratoire Traitement du Signal et de L’Image (LTSI), Université de Rennes1, 35042 , Rennes, France
    3. Centre de Recherche en Information Biomédicale Sino-fran?ais (CRIBS)
  • Received:2007-11-12 Revised:2008-04-02 Online:2008-07-31 Published:2008-07-31

被引次数

1

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，算法的运行时间能够控制在数分钟内。

关键词: 冠状动脉, 中轴线提取, 多层CT, 几何矩, 多尺度, Hessian矩阵

Abstract: Cardiac multi-slice computer 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 interactively 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.

Key words: coronary artery, Hessian matrix
, centerline extraction, multi-slice computer tomography (MSCT), geometrical moment, multi-scale