Shechter Guy, Devernay Frédéric, Coste-Manière Eve, Quyyumi Arshed, McVeigh Elliot R
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
IEEE Trans Med Imaging. 2003 Apr;22(4):493-503. doi: 10.1109/TMI.2003.809090.
A three-dimensional (3-D) method for tracking the coronary arteries through a temporal sequence of biplane X-ray angiography images is presented. A 3-D centerline model of the coronary vasculature is reconstructed from a biplane image pair at one time frame, and its motion is tracked using a coarse-to-fine hierarchy of motion models. Three-dimensional constraints on the length of the arteries and on the spatial regularity of the motion field are used to overcome limitations of classical two-dimensional vessel tracking methods, such as tracking vessels through projective occlusions. This algorithm was clinically validated in five patients by tracking the motion of the left coronary tree over one cardiac cycle. The root mean square reprojection errors were found to be submillimeter in 93% (54/58) of the image pairs. The performance of the tracking algorithm was quantified in three dimensions using a deforming vascular phantom. RMS 3-D distance errors were computed between centerline models tracked in the X-ray images and gold-standard centerline models of the phantom generated from a gated 3-D magnetic resonance image acquisition. The mean error was 0.69 (+/- 0.06) mm over eight temporal phases and four different biplane orientations.
本文提出了一种通过双平面X射线血管造影图像的时间序列来跟踪冠状动脉的三维（3-D）方法。在一个时间帧内，从双平面图像对重建冠状动脉血管系统的三维中心线模型，并使用从粗到细的运动模型层次结构跟踪其运动。利用动脉长度和运动场空间规则性的三维约束来克服传统二维血管跟踪方法的局限性，如通过投影遮挡跟踪血管。通过在一个心动周期内跟踪五名患者左冠状动脉树的运动，对该算法进行了临床验证。在93%（54/58）的图像对中，均方根重投影误差被发现小于一毫米。使用变形血管模型在三维空间中对跟踪算法的性能进行了量化。计算了在X射线图像中跟踪的中心线模型与从门控三维磁共振图像采集生成的模型的金标准中心线模型之间的三维均方根距离误差。在八个时间阶段和四种不同的双平面方向上，平均误差为0.69（±0.06）毫米。
