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4-D echocardiography assessment of local myocardial strain using 3-D speckle tracking combined with shape tracking

机译:使用3-D斑点追踪和形状追踪的4-D超声心动图评估局部心肌应变

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In 4-D echocardiography (4DE), displacement estimates obtained solely from multi-dimensional speckle tracking can exhibit large variances and peak hopping, making it challenging to accurately calculate myocardial strains. 3-D phase-sensitive speckle tracking can produce sensitive estimates along the axial direction, but typically provides poorer estimates in orthogonal directions and at tissue boundaries. Shape tracking provides complimentary information, as it effectively tracks myocardial boundaries and does not depend on beam orientation. We propose a method combining 3-D speckle tracking with 3-D shape tracking using a quality-based radial basis function approach. Echocardiographic data (3D+t) were acquired in an open chest canine model at six weeks following surgical coronary occlusion using a commercial 2-D phased array, on which 3-D phase-sensitive speckle tracking and 3-D shape tracking were performed. An adaptive, multi-level radial basis function method was used to combine information from the two tracking methods, utilizing confidence metrics to weight the contribution of each estimate to generate a dense 3-D displacement field throughout the myocardium. A multi-level approach was used to capture smaller scales of motion in regions of fine deformation variation and high tracking confidence. The 3-D combined approach produced displacement estimates with greatly reduced variance and peak hopping compared to 3-D speckle tracking alone. Lower radial strains were observed in the myocardial infarct region, corresponding to reduced local contractility. Strong correlations were observed for both radial and circumferential strains between the combined method and estimates from magnetic resonance (MR) tagging studies.
机译:在4-D超声心动图(4DE)中,仅从多维散斑跟踪获得的位移估计值可能会出现较大的变化和峰跳,从而难以准确计算心肌应变。 3-D相位敏感斑点跟踪可以沿轴向产生敏感的估计,但是通常在正交方向和组织边界处提供较差的估计。形状跟踪提供了补充信息,因为它可以有效跟踪心肌边界,并且不依赖于波束方向。我们提出了一种结合基于质量的径向基函数方法的3-D斑点跟踪与3-D形状跟踪的方法。超声心动图数据(3D + t)在开放性犬冠状动脉闭塞后六周使用商业2-D相控阵采集,在其上进行3-D相敏斑点跟踪和3-D形状跟踪。自适应的多级径向基函数方法用于结合来自两种跟踪方法的信息,利用置信度度量权重每个估计的贡献,从而在整个心肌中生成密集的3-D位移场。使用多级方法来捕获变形细微变化和跟踪可信度高的区域中的较小比例的运动。与单独的3D散斑跟踪相比,3D组合方法产生的位移估计具有大大减少的方差和峰值跳变。在心肌梗塞区域观察到较低的径向应变,这对应于局部收缩力降低。在组合方法与磁共振(MR)标记研究的估计值之间,径向和周向应变均具有很强的相关性。

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