von Birgelen C, de Vrey E A, Mintz G S, Nicosia A, Bruining N, Li W, Slager C J, Roelandt J R, Serruys P W, de Feyter P J
Thoraxcenter, Division of Cardiology, University Hospital Rotterdam-Dijkzigt and Erasmus University, The Netherlands.
Circulation. 1997 Nov 4;96(9):2944-52. doi: 10.1161/01.cir.96.9.2944.
Automated systems for the quantitative analysis of three-dimensional (3D) sets of intravascular ultrasound (IVUS) images have been developed to reduce the time required to perform volumetric analyses; however, 3D image reconstruction by these nongated systems is frequently hampered by cyclic artifacts.
We used an ECG-gated 3D IVUS image acquisition workstation and a dedicated pullback device in atherosclerotic coronary segments of 30 patients to evaluate (1) the feasibility of this approach of image acquisition, (2) the reproducibility of an automated contour detection algorithm in measuring lumen, external elastic membrane, and plaque+media cross-sectional areas (CSAs) and volumes and the cross-sectional and volumetric plaque+media burden, and (3) the agreement between the automated area measurements and the results of manual tracing. The gated image acquisition took 3.9+/-1.5 minutes. The length of the segments analyzed was 9.6 to 40.0 mm, with 2.3+/-1.5 side branches per segment. The minimum lumen CSA measured 6.4+/-1.7 mm2, and the maximum and average CSA plaque+media burden measured 60.5+/-10.2% and 46.5+/-9.9%, respectively. The automated contour-detection required 34.3+/-7.3 minutes per segment. The differences between these measurements and manual tracing did not exceed 1.6% (SD<6.8%). Intraobserver and interobserver differences in area measurements (n=3421; r=.97 to.99) were <1.6% (SD<7.2%); intraobserver and interobserver differences in volumetric measurements (n=30; r=.99) were <0.4% (SD<3.2%).
ECG-gated acquisition of 3D IVUS image sets is feasible and permits the application of automated contour detection to provide reproducible measurements of the lumen and atherosclerotic plaque CSA and volume in a relatively short analysis time.
已开发出用于定量分析血管内超声（IVUS）三维（3D）图像集的自动化系统，以减少进行容积分析所需的时间；然而，这些非门控系统的3D图像重建经常受到周期性伪影的阻碍。
我们在30例患者的动脉粥样硬化冠状动脉节段中使用了心电图门控的3D IVUS图像采集工作站和专用回撤装置，以评估（1）这种图像采集方法的可行性，（2）自动轮廓检测算法在测量管腔、外弹力膜以及斑块+中膜横截面积（CSA）和容积以及横截面和容积斑块+中膜负荷方面的可重复性，以及（3）自动面积测量与手动追踪结果之间的一致性。门控图像采集耗时3.9±1.5分钟。分析节段的长度为9.6至40.0毫米，每个节段有2.3±1.5个侧支。测量的最小管腔CSA为6.4±1.7平方毫米，最大和平均CSA斑块+中膜负荷分别为60.5±10.2%和46.5±9.9%。自动轮廓检测每个节段需要34.3±7.3分钟。这些测量与手动追踪之间的差异不超过1.6%（标准差<6.8%）。观察者内和观察者间面积测量的差异（n = 3421；r = 0.97至0.99）<1.6%（标准差<7.2%）；观察者内和观察者间容积测量的差异（n = 30；r = 0.99）<0.4%（标准差<3.2%）。
心电图门控采集3D IVUS图像集是可行的，并允许应用自动轮廓检测，以在相对较短的分析时间内提供管腔和动脉粥样硬化斑块CSA及容积的可重复测量。
