Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China. sunzheng
Comput Med Imaging Graph. 2011 Jul;35(5):353-64. doi: 10.1016/j.compmedimag.2010.12.002. Epub 2011 Jan 11.
A method for quantitatively estimating global displacement fields of coronary arterial vessel skeletons during cardiac cycles from X-ray coronary angiographic (CAG) image sequences is proposed. First, dynamic sequence of arterial lumen skeletons is semi-automatically reconstructed from a pair of angiographic image sequences acquired from two nearly orthogonal view angles covering one or several cardiac cycles. Then, displacement fields of 3D vessel skeletons at different cardiac phases are quantitatively estimated through searching optimal correspondences between skeletons of a same vessel branch at different time-points of image sequences with dynamic programming algorithm. The main advantage of this method is that possible errors introduced by calibration parameters of the imaging system are avoided and application of dynamic programming ensures low computation cost. Also, any a priori knowledge and model about cardiac and arterial dynamics is not needed and the same matching error function and similarity measurement can be used to estimate global displacement fields of vessel skeletons performing different kinds of motion. Validation experiments with computer-simulated data and clinically acquired image data are designed and results are given to demonstrate the accuracy and validity of the proposed method.
提出了一种从 X 射线冠状动脉造影（CAG）图像序列中定量估计心动周期期间冠状动脉血管骨架整体位移场的方法。首先，从覆盖一个或多个心动周期的两个近正交视角获取的一对血管造影图像序列中半自动重建动脉管腔骨架的动态序列。然后，通过动态规划算法在图像序列的不同时间点之间搜索同一血管分支的骨架之间的最佳对应关系，定量估计 3D 血管骨架在不同心动相位的位移场。该方法的主要优点是避免了成像系统校准参数可能引入的误差，并且动态规划的应用确保了低计算成本。此外，不需要关于心脏和动脉动力学的任何先验知识和模型，并且可以使用相同的匹配误差函数和相似性度量来估计执行不同运动的血管骨架的整体位移场。设计了计算机模拟数据和临床采集图像数据的验证实验，并给出了结果，以证明所提出方法的准确性和有效性。
