Yang Fan, He Yan, Zhang Jie, Wu Yin
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Dec;32(6):1279-83.
Real-time free breathing cardiac cine imaging is a reproducible method with shorter acquisition time and without breath-hold for cardiac magnetic resonance imaging. However, the detection of end-diastole and end-systole frames of real-time free breathing cardiac cine imaging for left ventricle function analysis is commonly completed by visual identification, which is time-consuming and laborious. In order to save processing time, we propose a method for semi-automatic identification of end-diastole and end-systole frames. The method fits respiratory motion signal and acquires the expiration phase, end-diastole and end-systole frames by cross correlation coefficient. The procedure successfully worked on ten healthy volunteers and validated by the analysis of left ventricle function compared to the standard breath-hold steady-state free precession cardiac cine imaging without any significant statistical differences. The results demonstrated that the present method could correctly detect end-diastole and end-systole frames. In the future, this technique may be used for rapid left ventricle function analysis in clinic.
实时自由呼吸心脏电影成像对于心脏磁共振成像而言是一种可重复的方法，其采集时间较短且无需屏气。然而，用于左心室功能分析的实时自由呼吸心脏电影成像的舒张末期和收缩末期帧的检测通常通过视觉识别来完成，这既耗时又费力。为了节省处理时间，我们提出了一种半自动识别舒张末期和收缩末期帧的方法。该方法拟合呼吸运动信号，并通过互相关系数获取呼气阶段、舒张末期和收缩末期帧。该程序在十名健康志愿者身上成功运行，并通过与标准屏气稳态自由进动心脏电影成像相比的左心室功能分析进行了验证，没有任何显著的统计学差异。结果表明，本方法能够正确检测舒张末期和收缩末期帧。未来，这项技术可能用于临床快速左心室功能分析。
