Yang Guanyu, Zhou Jian, Boulmier Dominique, Garcia Marie-Paule, Luo Limin, Toumoulin Christine
Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China.
IEEE Trans Inf Technol Biomed. 2010 Jan;14(1):101-6. doi: 10.1109/TITB.2009.2032333. Epub 2009 Sep 25.
This paper describes a method for the characterization of coronary artery motion using multislice computed tomography (MSCT) volume sequences. Coronary trees are first extracted by a spatial vessel tracking method in each volume of MSCT sequence. A point-based matching algorithm, with feature landmarks constraint, is then applied to match the 3-D extracted centerlines between two consecutive instants over a complete cardiac cycle. The transformation functions and correspondence matrices are estimated simultaneously, and allow deformable fitting of the vessels over the volume series. Either point-based or branch-based motion features can be derived. Experiments have been conducted in order to evaluate the performance of the method with a matching error analysis.
本文描述了一种使用多层计算机断层扫描(MSCT)容积序列来表征冠状动脉运动的方法。首先通过空间血管跟踪方法在MSCT序列的每个容积中提取冠状动脉树。然后应用一种基于点的匹配算法,并带有特征地标约束,以在整个心动周期内匹配两个连续瞬间提取的三维中心线。同时估计变换函数和对应矩阵,从而实现血管在容积序列上的可变形拟合。可以得出基于点或基于分支的运动特征。已经进行了实验,以便通过匹配误差分析来评估该方法的性能。