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An Ultrasound-Driven Kinematic Model of the Heart That Enforces Local Incompressibility

机译:超声驱动的心脏运动模型,可增强局部不可压缩性

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Local incompressibility can be used to improve fitting and analysis of ultrasound-based displacement data using a heart model. An analytic mathematical model incorporating inflation, torsion, and axial extension was generalized for the left ventricle. Short-axis and long-axis images of mouse left ventricles were acquired using high frequency B-mode ultrasound and myocardial displacements were determined using speckle tracking. Deformation gradient components in the circumferential and longitudinal directions were fitted using linear regressions. The slopes of these lines were then used to predict motion in the radial directions. The optimized kinematic model accurately predicted the motion of mouse left ventricle during rilling with normalized root mean square error of 4.4±1.2%.
机译:局部不可压缩性可用于改善使用心脏模型的基于超声的位移数据的拟合和分析。一个综合了充气,扭转和轴向伸展的解析数学模型被用于左心室。使用高频B型超声获取小鼠左心室的短轴和长轴图像,并使用斑点跟踪确定心肌移位。使用线性回归拟合圆周和纵向方向上的变形梯度分量。这些线的斜率然后用于预测径向方向上的运动。优化的运动学模型可以准确地预测钻削过程中小鼠左心室的运动,归一化均方误差为4.4±1.2%。

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