3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography
3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography
复制标题
DOI：
10.1007/s10554-009-9528-0
复制
发表时间：
2010-10-01
影响因子：
2.1
通讯作者：
Kirchberg, Klaus
中科院分区：
文献类型：
--
作者：
Liao, Rui;Luc, Duong;Kirchberg, Klaus
提出一种有效的、鲁棒的方法，用于从X射线血管造影的多个ECG门控视图进行冠状动脉树的3-D重建。使用增强的多尺度分析从X射线投影图像自动提取2-D冠状动脉中心线。对于低血管对比度的困难数据，实现了基于快速行进方法的半自动工具，以允许手动校正自动提取的2-D中心线。首先，我们制定了从多个视图的冠状动脉的3-D符号重建作为一个能量最小化问题，结合软极线约束和3-D中评估的平滑项。所提出的配方的鲁棒性的重建，在2-D中心线提取的不规则性，以及重建的冠状动脉树是固有的3-D平滑。我们进一步建议使用图切割的α-扩展移动来解决能量最小化问题，这是一种强大的优化技术，可以以相对较低的计算复杂度在很强的意义上产生局部最小值。我们展示了一个合成冠状动脉体模，猪数据集和11例患者数据集的实验结果。对于冠状动脉体模，给出了使用不同视图数获得的结果。当使用4个或更多视图时，由平均值加一个标准差评估的3-D重建误差小于一毫米。对于真实的数据，重建使用4至5个视图和256个深度标签，平均约12秒的计算机上与2.13 GHz的英特尔奔腾M和实现的平均2-D反投影误差为1.18毫米（范围从0.84至1.71毫米），在12例。从体模和患者研究中报告的冠状动脉树的多视图重建的准确性是有希望的，并且与文献中报告的其他方法相比，效率显著提高，其范围从几分钟到几十分钟。显示了视觉良好和平滑的重建。
To present an efficient and robust method for 3-D reconstruction of the coronary artery tree from multiple ECG-gated views of an X-ray angiography. 2-D coronary artery centerlines are extracted automatically from X-ray projection images using an enhanced multi-scale analysis. For the difficult data with low vessel contrast, a semi-automatic tool based on fast marching method is implemented to allow manual correction of automatically-extracted 2-D centerlines. First, we formulate the 3-D symbolic reconstruction of coronary arteries from multiple views as an energy minimization problem incorporating a soft epipolar line constraint and a smoothness term evaluated in 3-D. The proposed formulation results in the robustness of the reconstruction to the imperfectness in 2-D centerline extraction, as well as the reconstructed coronary artery tree being inherently smooth in 3-D. We further propose to solve the energy minimization problem using alpha-expansion moves of Graph Cuts, a powerful optimization technique that yields a local minimum in a strong sense at a relatively low computational complexity. We show experimental results on a synthetic coronary phantom, a porcine data set and 11 patient data sets. For the coronary phantom, results obtained using different number of views are presented. 3-D reconstruction error evaluated by the mean plus one standard deviation is below one millimeter when 4 or more views are used. For real data, reconstruction using 4 to 5 views and 256 depth labels averaged around 12 s on a computer with 2.13 GHz Intel Pentium M and achieves a mean 2-D back-projection error of 1.18 mm (ranging from 0.84 to 1.71 mm) in 12 cases. The accuracy for multi-view reconstruction of the coronary artery tree as reported from the phantom and patient studies is promising, and the efficiency is significantly improved compared to other approaches reported in the literature, which range from a few to tens of minutes. Visually good and smooth reconstruction is demonstrated.