Gatta Carlo, Balocco Simone, Ciompi Francesco, Hemetsberger Rayyan, Rodriguez Leor Oriol, Radeva Petia
1 Dept. Matemtica Aplicada i Anlisi, Universitat de Barcelona, Gran Via 585, 08007 Barcelona, Spain.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):59-67. doi: 10.1007/978-3-642-15745-5_8.
Intravascular Ultrasound (IVUS) is an image-guiding technique for cardiovascular diagnostic, providing cross-sectional images of vessels. During the acquisition, the catheter is pulled back (pullback) at a constant speed in order to acquire spatially subsequent images of the artery. However, during this procedure, the heart twist produces a swinging fluctuation of the probe position along the vessel axis. In this paper we propose a real-time gating algorithm based on the analysis of motion blur variations during the IVUS sequence. Quantitative tests performed on an in-vitro ground truth data base shown that our method is superior to state of the art algorithms both in computational speed and accuracy.
血管内超声（IVUS）是一种用于心血管诊断的图像引导技术，可提供血管的横截面图像。在采集过程中，导管以恒定速度回撤（拉回），以便获取动脉在空间上后续的图像。然而，在这个过程中，心脏扭转会导致探头位置沿血管轴产生摆动波动。在本文中，我们提出了一种基于对IVUS序列中运动模糊变化分析的实时门控算法。在体外真实数据库上进行的定量测试表明，我们的方法在计算速度和准确性方面均优于现有算法。
