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RF-based two-dimensional cardiac strain estimation: a validation study in a tissue-mimicking phantom

机译:基于RF的二维心脏应变估计:组织模仿模型中的验证研究

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Strain and strain rate imaging have been shown to be useful techniques for the assessment of cardiac function. However, one of the major problems of these techniques is their angle dependency. In order to overcome this problem, a new method for estimating the strain (rate) tensor had previously been proposed by our lab. The aim of this study was to validate this methodology in a phantom setup. A tubular thick-walled tissue-mimicking phantom was fixed in a water tank. Varying the intraluminal pressure resulted in a cyclic radial deformation. The 2D strain was calculated from the 2D velocity estimates, obtained from 2D radio frequency (RF) tracking using a 1D kernel. Additionally, ultrasonic microcrystals were implanted on the outer and inner walls of the tube in order to give an independent measurement of the instantaneous wall thickness. The two methods were compared by means of linear regression, the correlation coefficient, and Bland-Altman statistics. As expected, the strain estimates dominated by the azimuth velocity component were less accurate than the ones dominated by the axial velocity component. Correlation coefficients were found to be r=0.78 for the former estimates and =0.83 was found for the latter. Given that the overall shape and timing of the 2D deformation were very accurate (r=0.95 and r=0.84), these results were within acceptable limits for clinical applications. The 2D RF-tracking using a 1D kernel thus allows for 2D, and therefore angle-independent, strain estimation.
机译:应变和应变率成像已被证明是评估心功能的有用技术。但是,这些技术的主要问题之一是它们的角度依赖性。为了克服这个问题,我们的实验室先前已经提出了一种估计应变(速率)张量的新方法。这项研究的目的是在幻像设置中验证这种方法。管状的厚壁组织模拟体被固定在水箱中。改变管腔内压力导致周期性的径向变形。根据使用1D内核从2D射频(RF)跟踪获得的2D速度估计值计算2D应变。另外,将超声微晶植入管的外壁和内壁,以便对瞬时壁厚进行独立测量。通过线性回归,相关系数和Bland-Altman统计对两种方法进行了比较。不出所料,以方位角速度分量为主的应变估计的准确性不如以轴向速度分量为主的应变估计的准确性。前者的估计相关系数为r = 0.78,后者为0.83。鉴于2D变形的总体形状和时间非常精确(r = 0.95和r = 0.84),这些结果在临床应用的可接受范围内。因此,使用1D内核进行2D RF跟踪可以进行2D(因此与角度无关)的应变估计。

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