首页> 外文期刊>International Journal of Computer Vision >Bilinear Models for Spatio-Temporal Point Distribution Analysis Application to Extrapolation of Left Ventricular, Biventricular and Whole Heart Cardiac Dynamics
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Bilinear Models for Spatio-Temporal Point Distribution Analysis Application to Extrapolation of Left Ventricular, Biventricular and Whole Heart Cardiac Dynamics

机译:时空点分布双线性模型在左心室,双心室和全心脏动力学外推中的应用

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摘要

In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete points in the cardiac cycle. Provided we are given a small number of shape instances representing the same heart at different points in the same cycle, we can use the bilinear model to establish this. Using a temporal and a spatial alignment step in the preprocessing of the shapes, around half of the reconstruction errors were on the order of the axial image resolution of 2 mm, and over 90% was within 3.5 mm. From this, we conclude that the dynamics were indeed separated from the inter-subject variability in our dataset.
机译:在这项工作中,我们描述了使用双线性统计模型作为将形状变异性分解为两个要素的方法,这两个要素归因于受试者之间的变异和人类心脏的内在动力学。我们表明,在心动周期的离散点重建心脏的形状是可行的。假设我们获得了少量形状实例,它们代表同一周期中不同点的同一心脏,则可以使用双线性模型来建立该形状实例。在形状的预处理中使用时间和空间对齐步骤,大约一半的重建误差约为2 mm的轴向图像分辨率,超过90%的误差在3.5 mm以内。由此得出的结论是,动力学确实与我们数据集中的受试者间变异性分开了。

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