Mühlenbruch Georg, Das Marco, Hohl Christian, Wildberger Joachim E, Rinck Daniel, Flohr Thomas G, Koos Ralf, Knackstedt Christian, Günther Rolf W, Mahnken Andreas H
Department of Diagnostic Radiology, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52057 Aachen, Germany.
Eur Radiol. 2006 May;16(5):1117-23. doi: 10.1007/s00330-005-0079-z. Epub 2005 Dec 22.
The purpose was to evaluate a new semi-automated 3D region-growing segmentation algorithm for functional analysis of the left ventricle in multislice CT (MSCT) of the heart. Twenty patients underwent contrast-enhanced MSCT of the heart (collimation 16 x 0.75 mm; 120 kV; 550 mAseff). Multiphase image reconstructions with 1-mm axial slices and 8-mm short-axis slices were performed. Left ventricular volume measurements (end-diastolic volume, end-systolic volume, ejection fraction and stroke volume) from manually drawn endocardial contours in the short axis slices were compared to semi-automated region-growing segmentation of the left ventricle from the 1-mm axial slices. The post-processing-time for both methods was recorded. Applying the new region-growing algorithm in 13/20 patients (65%), proper segmentation of the left ventricle was feasible. In these patients, the signal-to-noise ratio was higher than in the remaining patients (3.2+/-1.0 vs. 2.6+/-0.6). Volume measurements of both segmentation algorithms showed an excellent correlation (all P<or=0.0001); the limits of agreement for the ejection fraction were 2.3+/-8.3 ml. In the patients with proper segmentation the mean post-processing time using the region-growing algorithm was diminished by 44.2%. On the basis of a good contrast-enhanced data set, a left ventricular volume analysis using the new semi-automated region-growing segmentation algorithm is technically feasible, accurate and more time-effective.
目的是评估一种新的半自动三维区域生长分割算法，用于心脏多层螺旋CT（MSCT）中左心室的功能分析。20例患者接受了心脏对比增强MSCT检查（准直16×0.75mm；120kV；550mAs有效剂量）。进行了1mm层厚的轴向图像和8mm层厚的短轴图像的多期重建。将短轴图像中手动绘制的心内膜轮廓测量得到的左心室容积（舒张末期容积、收缩末期容积、射血分数和每搏输出量）与1mm轴向图像中左心室的半自动区域生长分割结果进行比较。记录两种方法的后处理时间。在20例患者中的13例（65%）应用新的区域生长算法时，左心室的正确分割是可行的。在这些患者中，信噪比高于其余患者（3.2±1.0对2.6±0.6）。两种分割算法的容积测量结果显示出极好的相关性（所有P≤0.0001）；射血分数的一致性界限为2.3±8.3ml。在分割正确的患者中，使用区域生长算法的平均后处理时间减少了44.2%。基于良好的对比增强数据集，使用新的半自动区域生长分割算法进行左心室容积分析在技术上是可行的、准确的且更节省时间。
