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Spline-Based Cardiac Motion Tracking Using Velocity-Encoded Magnetic Resonance Imaging

机译:使用速度编码磁共振成像的基于样条曲线的心脏运动跟踪

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摘要

This paper deals with the problem of tracking cardiac motion and deformation using velocity-encoded magnetic resonance imaging. We expand upon an earlier described method and fit a spatiotemporal motion model to measured velocity data. We investigate several different spatial elements both qualitatively and quantitatively using phantom measurements and data from human subjects. In addition, we also use optical flow estimation by the Horn–Schunk method as complementary data in regions where the velocity measurements are noisy. Our results show that it is possible to obtain good motion tracking accuracy in phantoms with relatively few spatial elements, if the type of element is properly chosen. The use of optical flow can correct some measurement artifacts but may give an underestimation of the magnitude of the deformation. In human subjects the different spatial elements perform quantitatively in a similar way but qualitative differences exists, as shown by a semiquantitative visual scoring of the different methods.
机译:本文涉及使用速度编码磁共振成像跟踪心脏运动和变形的问题。我们扩展了一种较早描述的方法,并将时空运动模型拟合到测得的速度数据。我们使用幻像测量和人类受试者的数据定性和定量地研究了几种不同的空间元素。此外,在速度测量有噪声的区域中,我们还使用了基于Horn-Schunk方法的光流估计作为补充数据。我们的结果表明,如果适当选择元素的类型,则在具有相对较少空间元素的幻像中可以获得良好的运动跟踪精度。使用光流可以纠正一些测量伪影,但可能会低估变形的幅度。在人类受试者中,不同的空间元素以相似的方式定量执行,但存在质的差异,如不同方法的半定量视觉评分所示。

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