Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
复制标题
使用 HARP 技术从心脏电影 MR 标记中提取密集多尺度运动
DOI：
10.1109/iccv.2007.4409147
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Avan Suinesiaputra
中科院分区：
文献类型：
--
作者：
L. Florack;H. V. Assen;Avan Suinesiaputra
提出了一种从标记的心脏MR序列中提取谐波相位(HARP)图像来提取左心室(LV)收缩动力学的操作方法。已建立的生成HARP序列的技术为运动提取提供了独立的证据，因为应用于HARP图像的标量亮度守恒的组合线性系统可以在不需要正则化的情况下对于运动参数的密集场唯一地求解。与先前提出的一些流行方法相比，不需要随着时间的推移对标签进行分割或跟踪，也不需要显式耦合到标签图案的稀疏运动场的内插，并且绕过了标签衰落的问题。一个重要的创新是结合了自动局部尺度选择，以获得一个稳健的解，该解不仅产生(健康的)左室壁的稳定的，而且平滑变化的运动场。该格式依赖于表示近似阶数的整数参数，并允许同时获得反映运动场低阶微分结构的密集的微分张量场，这对于计算相关的局域量如应变率和材料加速场是有用的。该方法是通用的和直接的实现，可以推广到3D，原则上，以解决更高阶差分结构。
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.
影响因子：
19.7
作者：
YOUNG, AA;AXEL, L
通讯作者：
AXEL, L
优化的超快成像序列 (OUFIS)。
影响因子：
3.3
作者：
Zha,L;Lowe,IJ
通讯作者：
Lowe,IJ