Lötjönen Jyrki M P, Järvinen Vesa M, Cheong Benjamin, Wu Edwin, Kivistö Sari, Koikkalainen Juha R, Mattila Jussi J O, Kervinen Helena M, Muthupillai Raja, Sheehan Florence H, Lauerma Kirsi
VTT Technical Research Centre of Finland, Tampere, Finland.
J Magn Reson Imaging. 2008 Sep;28(3):626-36. doi: 10.1002/jmri.21520.
To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images.
The study population comprised 40 subjects. Biventricular end-diastolic and -systolic phases were segmented from both short-axis and horizontal long-axis or transaxial cine CMR images. Segmentation was based on fitting nonrigidly a 3D surface model to multiaxis CMR images. Five segmentations were performed: two manual segmentations by experts, automatic segmentation, and two segmentations where a user was allowed to correct errors in the automatic segmentation for 2 minutes and without time limits. Volumetry, distance measures, and visual grading were used to evaluate the quality of the segmentation.
No difference was observed between automatic and manual segmentations in volumetric measures of the ventricles. The manual segmentation performed better for left-ventricular myocardial volume. The distance between surfaces as well as visual analysis did not show differences between automatic and manual segmentation for the endocardial border of the left ventricle but some corrections are needed for the right ventricle.
Fully automatic segmentation produces good results in the assessment of left ventricular volume andendocardial border. Two minutes of user interaction are needed to obtain accurate results for the right ventricle.
验证一种用于多轴心脏磁共振（CMR）图像的双心室容积分割方法。
研究对象包括40名受试者。从短轴和水平长轴或横轴电影CMR图像中分割出双心室舒张末期和收缩末期图像。分割基于将三维表面模型非刚性地拟合到多轴CMR图像上。进行了五次分割：由专家进行的两次手动分割、自动分割，以及两次用户可在2分钟内和无时间限制的情况下纠正自动分割错误的分割。使用容积测量、距离测量和视觉评分来评估分割质量。
在心室容积测量方面，自动分割和手动分割之间未观察到差异。手动分割在左心室心肌容积方面表现更好。左心室内膜边界的表面间距离以及视觉分析在自动分割和手动分割之间未显示出差异，但右心室需要一些校正。
全自动分割在评估左心室容积和内膜边界方面产生了良好的结果。对于右心室，需要两分钟的用户交互才能获得准确结果。
