Université de Rouen, LITIS EA 4108, BP 12, 76801 Saint-Etienne-du-Rouvray, France.
Int J Comput Assist Radiol Surg. 2011 Sep;6(5):573-81. doi: 10.1007/s11548-010-0532-6. Epub 2010 Sep 17.
Segmenting the cardiac ventricles in magnetic resonance (MR) images is required for cardiac function assessment. Numerous segmentation methods have been developed and applied to MR ventriculography. Quantitative validation of these segmentation methods with ground truth is needed prior to clinical use, but requires manual delineation of hundreds of images. We applied a well-established method to this problem and rigorously validated the results.
An automatic method based on active contours without edges was used for left and the right ventricle cavity segmentation. A large database of 1,920 MR images obtained from 59 patients who gave informed consent was evaluated. Two standard metrics were used for quantitative error measurement.
Segmentation results are comparable to previously reported values in the literature. Since different points in the cardiac cycle and different slice levels were used in this study, a detailed error analysis is possible. Better performance was obtained at end diastole than at end systole, and on mid-ventricular slices than apical slices. Localization of segmentation errors were highlighted through a study of their spatial distribution.
Ventricular segmentation based on region-driven active contours provided satisfactory results in MRI, without the use of a priori knowledge. The study of error distribution allows identification of potential improvements in algorithm performance.
在磁共振（MR）图像中分割心脏心室是评估心脏功能所必需的。已经开发并应用了许多分割方法来进行 MR 心室造影。在临床应用之前，需要使用真实数据对这些分割方法进行定量验证，但这需要手动描绘数百张图像。我们将一种成熟的方法应用于该问题，并对结果进行了严格的验证。
采用基于无边缘活动轮廓的自动方法进行左心室和右心室腔的分割。评估了一个包含 59 名患者的 1920 张 MR 图像的大型数据库，这些患者均知情同意。使用两种标准指标进行定量误差测量。
分割结果与文献中先前报道的值相当。由于在这项研究中使用了心脏周期的不同点和不同的层面，因此可以进行详细的误差分析。舒张末期的性能优于收缩末期，而在心室中部层面的性能优于心尖层面。通过研究其空间分布，突出了分割误差的定位。
基于区域驱动的主动轮廓的心室分割在 MRI 中提供了令人满意的结果，而无需使用先验知识。误差分布的研究有助于确定算法性能的潜在改进。
