Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging
Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging
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DOI：
10.1109/access.2018.2815522
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发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
O'Donnell, Matthew
中科院分区：
文献类型：
--
作者：
Jeng, Geng-Shi;Zontak, Maria;O'Donnell, Matthew
基于块匹配的斑点跟踪是超声弹性成像中最常用的多维运动估计方法。由于3-D跟踪的大计算负荷以及与3-D图像的低帧（体积）速率相关的性能问题，2-D方法到3-D的扩展一直是有问题的。为了解决这两个问题，我们已经开发出一种有效的两遍跟踪方法，适合心脏弹性成像。PatchMatch最初是为图像编辑而开发的，现已适用于超声，以提供首过位移估计。第二遍估计在小得多的搜索区域内使用常规块匹配。三维位移，然后获得使用相关滤波先前被证明是有效的斑点去相关。模拟和在体犬心脏的结果表明，所提出的两次通过的方法降低了计算成本相比，传统的3-D穷举搜索的一个因素的10。此外，在相对于可用的地面实况位移的均方根误差方面，它优于单程跟踪约3倍。
Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of 2-D methods to 3-D has been problematic because of the large computational load of 3-D tracking, as well as performance issues related to the low frame (volume) rates of 3-D images. To address both of these problems, we have developed an efficient two-pass tracking method suited to cardiac elasticity imaging. PatchMatch, originally developed for image editing, has been adapted for ultrasound to provide first-pass displacement estimates. Second-pass estimation uses conventional block matching within a much smaller search region. 3-D displacements are then obtained using correlation filtering previously shown to be effective against speckle decorrelation. Both simulated and in vivo canine cardiac results demonstrate that the proposed two-pass method reduces computational cost compared with conventional 3-D exhaustive search by a factor of 10. Moreover, it outperforms one pass tracking by a factor of about 3 in terms of root-mean-square error relative to available ground-truth displacements.