Faculty of Biomedical Engineering, Technion-IIT Technion City, Haifa 32000, Israel.
Comput Med Imaging Graph. 2013 Oct-Dec;37(7-8):500-11. doi: 10.1016/j.compmedimag.2013.09.002. Epub 2013 Sep 12.
Segmentation of cardiac magnetic resonance imaging is considered an important application in clinical practice. An automatic algorithm is proposed for segmentation of both endocardial and epicardial boundaries, in long-axis views. The data consisted of 126 patients, yielding 1008 traces. Estimated clinical parameters were highly correlated to gold standard measurements. The error between the automatic tracing and the gold standard was not significantly different than the error between two manual observers. In conclusion, a tool for segmenting the myocardial boundaries in the long-axis views is proposed, which works well, as demonstrated by the validation performed using a clinical dataset.
心脏磁共振成像的分割被认为是临床实践中的一个重要应用。本文提出了一种用于长轴视图上心内膜和心外膜边界分割的自动算法。该数据由 126 名患者组成，产生了 1008 条轨迹。估计的临床参数与金标准测量高度相关。自动跟踪与金标准之间的误差与两个手动观察者之间的误差没有显著差异。总之，本文提出了一种用于分割长轴视图中心肌边界的工具，通过使用临床数据集进行验证，证明该工具性能良好。
