Right ventricular strain analysis from three-dimensional echocardiography by using temporally diffeomorphic motion estimation.
Right ventricular strain analysis from three-dimensional echocardiography by using temporally diffeomorphic motion estimation.
复制标题
使用时间微分同态运动估计对三维超声心动图进行右心室应变分析。
DOI：
10.1118/1.4901253
复制
发表时间：
2014
期刊：
影响因子：
3.8
通讯作者：
Song,Xubo
中科院分区：
文献类型：
--
作者：
Zhang,Zhijun;Zhu,Meihua;Ashraf,Muhammad;Broberg,CraigS;Sahn,DavidJ;Song,Xubo
目的定量分析右心室运动对研究先天性和后天性疾病的发病机制具有重要意义。与左心室（LV）不同，右心室由于其形状复杂且心肌薄，运动估计更为困难。尽管对MR图像的有限元模型和超声心动图上的斑点跟踪的尝试在RV应变分析上显示了有希望的结果，但由于没有考虑运动的时间平滑性，这些方法可以改进。方法提出了一种时间差分运动估计方法，该方法通过优化速度场的配准能量函数来估计时空变换。所提出的运动估计方法对于一般的图像序列是一个全自动的过程。作者将该方法与半自动心肌分割法相结合，对5只开胸猪在不同稳定状态下的三维超声心动图序列进行了RV应变分析。结果用该方法得到的峰值两点应变值与声压法测得的峰值两点应变值具有较高的相关性。用节段应变法研究了右心室游离壁的运动。基线序列结果表明，他们的方法中的节段应变与其他图像方式（如MRI）获得的结果一致。起搏稳态图像序列显示应变变化最大的片段与起搏位点重合。结论该方法的峰值两点应变与声压测量法在不同稳态下的高度相关，表明该方法的RV运动估计具有较高的准确性。该方法的节段应变与MRI结果接近，表明该方法在三维超声心动图研究右室功能方面是可行的。对起搏稳态的应变分析显示了该方法在RV疾病研究中的潜在应用价值。
PurposeQuantitative analysis of right ventricle (RV) motion is important for study of the mechanism of congenital and acquired diseases. Unlike left ventricle (LV), motion estimation of RV is more difficult because of its complex shape and thin myocardium. Although attempts of finite element models on MR images and speckle tracking on echocardiography have shown promising results on RV strain analysis, these methods can be improved since the temporal smoothness of the motion is not considered.MethodsThe authors have proposed a temporally diffeomorphic motion estimation method in which a spatiotemporal transformation is estimated by optimization of a registration energy functional of the velocity field in their earlier work. The proposed motion estimation method is a fully automatic process for general image sequences. The authors apply the method by combining with a semiautomatic myocardium segmentation method to the RV strain analysis of three‐dimensional (3D) echocardiographic sequences of five open‐chest pigs under different steady states.ResultsThe authors compare the peak two‐point strains derived by their method with those estimated from the sonomicrometry, the results show that they have high correlation. The motion of the right ventricular free wall is studied by using segmental strains. The baseline sequence results show that the segmental strains in their methods are consistent with results obtained by other image modalities such as MRI. The image sequences of pacing steady states show that segments with the largest strain variation coincide with the pacing sites.ConclusionsThe high correlation of the peak two‐point strains of their method and sonomicrometry under different steady states demonstrates that their RV motion estimation has high accuracy. The closeness of the segmental strain of their method to those from MRI shows the feasibility of their method in the study of RV function by using 3D echocardiography. The strain analysis of the pacing steady states shows the potential utility of their method in study on RV diseases.
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