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Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology

机译:使用HARP技术的心脏调解MR标记密集的多尺度运动提取

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We propose an operational method to extract the left ventricle (LV) systole dynamics using HARmonic Phase (HARP) images extracted from tagged cardiac MR sequences. Established techniques to generate HARP sequences provide independent evidence for motion extraction, in the sense that the combined linear system for scalar brightness conservation, applied to the HARP images, can be uniquely solved for a dense field of motion parameters without the need for regularization. In contrast to some of the previously proposed popular methods, no segmentation or tracking of tags over time, nor interpolation of a sparse motion field explicitly coupled to the tag pattern is required, and the problem of tag fading is bypassed. An important novelty is the incorporation of automatic local scale selection so as to obtain a robust solution, which not only yields a stable, but also a smoothly varying motion field of the (healthy) LV myocardial wall. The scheme relies on an integer parameter representing order of approximation, and allows one to simultaneously obtain a dense field of differential tensors capturing the low order differential structure of the motion field, which is useful for the computation of relevant local quantities such as strain rates and material acceleration fields. The methodology is generic and straightforward to implement, and can be generalized to 3D and, in principle, to account for higher order differential structure.
机译:我们提出了一种操作方法以提取左心室(LV),使用谐波相位(HARP)从标记心脏MR序列提取的图像收缩动力学。已建立的技术,以生成HARP序列提供了独立的证据,运动提取,在这个意义上,对于标量亮度养护组合的线性系统,施加到HARP图像,都可以被唯一求解的运动参数的致密字段无需正则化。与一些的先前提出的流行的方法,没有明确地耦合到标签图案的稀疏运动场的分割或随时间的标签跟踪,也不插值是必需的,并且标签的问题衰落被旁路。一个重要的新颖性在于自动局部尺度选择的掺入,从而获得一个强大的解决方案,这不仅产生一个稳定的,而且(健康的)LV心肌壁的平滑变化的运动领域。该方案依赖于代表近似的顺序的整数参数,并允许一个同时获得差动张量捕获运动领域,这是相关的本地量,例如应变速率和的计算有用的低阶差分结构的致密场材料加速度场。该方法是通用的,容易实现,而且可以推广到三维,原则,考虑到高阶差分结构。

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