Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China.
Comput Biol Med. 2013 Sep;43(9):1077-85. doi: 10.1016/j.compbiomed.2013.05.004. Epub 2013 May 14.
Intracoronary ultrasound (ICUS) is an interventional imaging modality that is used to acquire a series of tomographic images from the vascular lumen, for diagnosis and treatment of coronary artery diseases in clinical settings. Motion artifacts caused by cardiac dynamics and the pulsatile blood flow within the vascular lumen, during continuous pullback (non-gated) ICUS image acquisition, hinder visualization of longitudinal cuts, assessment of arterial morphology and hemodynamics, and three-dimensional (3-D) vessel reconstruction. The aim of this study is to develop a method to compensate for in-plane rigid motion in non-gated in vivo ICUS sequences. The signals associated with cardiac motion are first detected from the gray-scale image sequence. They are represented with rigid motion parameters between luminal contours extracted from successive slices. Subsequently, the signals were filtered to separate the dynamic components caused by cardiac motion from those caused by the irregular morphology of the vascular lumen. Dynamic components were then compensated by performing a back transformation of related pixels within the vessel region in each frame. The method is validated by computer-simulation and using real ICUS image data. Possible sources of error are discussed based on the experimental results.
冠状动脉内超声（ICUS）是一种介入成像方式，用于从血管腔中获取一系列断层图像，以便在临床环境中对冠状动脉疾病进行诊断和治疗。在连续回撤（非门控）ICUS 图像采集期间，由于心脏动力学和血管腔内搏动性血流引起的运动伪影，会阻碍对纵向切面、动脉形态和血液动力学的可视化，以及三维（3-D）血管重建。本研究旨在开发一种补偿非门控体内 ICUS 序列中平面内刚性运动的方法。首先从灰度图像序列中检测与心脏运动相关的信号。它们用从连续切片中提取的管腔轮廓之间的刚性运动参数来表示。随后，通过滤波将由心脏运动引起的动态分量与由血管腔不规则形态引起的动态分量分离。然后通过在每个帧中对血管区域内的相关像素进行反向变换来补偿动态分量。该方法通过计算机模拟和使用真实的 ICUS 图像数据进行了验证。根据实验结果讨论了可能的误差源。
