Automated Segmentation of Myocardial Scar in Late Enhancement MRI Using Combined Intensity and Spatial Information
Automated Segmentation of Myocardial Scar in Late Enhancement MRI Using Combined Intensity and Spatial Information
复制标题
DOI：
10.1002/mrm.22422
复制
发表时间：
2010-08-01
影响因子：
3.3
通讯作者：
van der Geest, Rob J.
中科院分区：
文献类型：
--
作者：
Tao, Qian;Milles, Julien;van der Geest, Rob J.
晚期钆增强（LGE）MRI对心肌梗死（MI）的大小和分布的准确评估对梗死后患者具有重要的预后价值。本文提出了一种结合强度和空间信息的MI自动识别方法，该方法在（i）初始化、（ii）错误接受去除和（iii）错误拒绝去除的清晰框架中。该方法在20例慢性梗死后患者的LGE MR图像上进行了验证，使用两个独立观察者的手动跟踪MI轮廓作为参考。自动和手动MI识别之间观察到良好的一致性。验证结果显示，在观察者1和观察者2的自动识别和手动追踪之间，描述两个区域之间重叠百分比的平均Dice指数分别为0.83 +/- 0.07和0.79 +/- 0.08，与观察者1和观察者2相比，估计的梗死百分比的误差分别为0.0 ± 1.9%和3.8 ± 4.7%。自动方法和手动追踪之间的差异是观察者间的差异。总之，开发的自动方法是准确和强大的MI描绘，提供了一个客观的工具，定量评估MI的LGE MR成像。Magn Reson Med 64：586-594，2010. (C)2010 Wiley-Liss，Inc.
Accurate assessment of the size and distribution of a myocardial infarction (MI) from late gadolinium enhancement (LGE) MRI is of significant prognostic value for postinfarction patients. In this paper, an automatic MI identification method combining both intensity and spatial information is presented in a clear framework of (i) initialization, (ii) false acceptance removal, and (iii) false rejection removal. The method was validated on LGE MR images of 20 chronic postinfarction patients, using manually traced MI contours from two independent observers as reference. Good agreement was observed between automatic and manual MI identification. Validation results showed that the average Dice indices, which describe the percentage of overlap between two regions, were 0.83 +/- 0.07 and 0.79 +/- 0.08 between the automatic identification and the manual tracing from observer 1 and observer 2, and the errors in estimated infarct percentage were 0.0 +/- 1.9% and 3.8 +/- 4.7% compared with observer 1 and observer 2. The difference between the automatic method and manual tracing is in the order of interobserver variation. In conclusion, the developed automatic method is accurate and robust in MI delineation, providing an objective tool for quantitative assessment of MI in LGE MR imaging. Magn Reson Med 64:586-594, 2010. (C) 2010 Wiley-Liss, Inc.