Prause G P, DeJong S C, McKay C R, Sonka M
Department of Electrical & Computer Engineering, University of Iowa, Iowa City 52242, USA.
Int J Card Imaging. 1997 Dec;13(6):451-62. doi: 10.1023/a:1005843222820.
At present, 3-D reconstructions of coronary vessels are generated from intravascular ultrasound (IVUS) by stacking up ECG-gated segmented IVUS frames of a pullback sequence. This simplified approach always results in straight vessel reconstructions and, therefore, gives an incorrect representation of tortuous coronary arteries. A more realistic reconstruction of tortuous vessels may be obtained by data fusion with biplane angiography. The 3-D course of the vessel is first derived from the angiograms and then combined with the segmented IVUS images. In this paper, we focus on two problems associated with the data fusion method: The definition of the pullback path and the estimation of the IVUS catheter twist during pullback. A robust algorithm for calculation of tortuosity-induced catheter twist is reported that is based on sequential triangulation of the 3-D pullback path. The method is analyzed with computer simulations and validated in helical vessel phantoms. A largely automated data fusion approach is proposed and applied to tortuous coronary arteries in cadaveric pig hearts.
目前，冠状动脉的三维重建是通过将回撤序列的心电图门控分段血管内超声（IVUS）帧叠加来生成的。这种简化方法总是导致血管重建呈直线状，因此，无法正确呈现迂曲的冠状动脉。通过与双平面血管造影进行数据融合，可以获得更逼真的迂曲血管重建。血管的三维路径首先从血管造影图中得出，然后与分段的IVUS图像相结合。在本文中，我们关注与数据融合方法相关的两个问题：回撤路径的定义以及回撤过程中IVUS导管扭转的估计。报告了一种基于三维回撤路径的顺序三角测量法的稳健算法，用于计算由迂曲引起的导管扭转。该方法通过计算机模拟进行了分析，并在螺旋血管模型中得到了验证。提出了一种高度自动化的数据融合方法，并将其应用于猪尸体心脏的迂曲冠状动脉。
