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Local Cardiac Wall Motion Estimation from Retrospectively Gated CT Images

机译:回顾性门控CT图像的局部心脏壁运动估计

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The heart is a dynamic organ and important characteristics about its function can be derived from 4D (3D + time) data. In this paper we present an approach for the automatic local tracking of the cardiac surfaces with sub-voxel accuracy in time series of computed tomography image volumes. First, a multi-compartment mesh is adapted to a single reconstructed image. This adapted mesh is then propagated through the whole time series. Chamber volumes and local surface motion can be estimated at arbitrary time points. Experiments on 15 time series indicate that the system is very precise and robust with respect to the selection of the start phase of the propagation. The results can be used, e.g., for dyssynchronity assessment or comparison with electromechanical models of the full heart.
机译:心脏是动态器官,其功能的重要特征可以从4D(3D +时间)数据中得出。在本文中,我们提出了一种在计算机断层扫描图像体积的时间序列中以亚体素精度自动局部跟踪心脏表面的方法。首先,多隔室网格适用于单个重建图像。然后,该经过调整的网格将在整个时间序列中传播。可以在任意时间点估计腔室容积和局部表面运动。在15个时间序列上进行的实验表明,该系统在选择传播开始阶段方面非常精确且健壮。结果可用于例如不同步性评估或与全心机电模型进行比较。

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