Jeng Geng-Shi, Zontak Maria, Parajuli Nripesh, Lu Allen, Ta Kevinminh, Sinusas Albert J, Duncan James S, O'Donnell Matthew
Department of Bioengineering, University of Washington, Seattle, WA 98195 USA.
College of Computer and Information Science, Northeastern University, Seattle, WA 98109 USA.
IEEE Access. 2018;6:17415-17428. doi: 10.1109/ACCESS.2018.2815522. Epub 2018 Mar 13.
Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of two-dimensional (2-D) methods to three dimensions (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 canine cardiac results demonstrate that the proposed two-pass method reduces computational cost compared to 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.
基于块匹配的散斑跟踪是超声弹性成像中多维运动估计最常用的方法。由于三维跟踪计算量大以及与三维图像低帧率(低容积率)相关的性能问题,将二维方法扩展到三维一直存在问题。为了解决这两个问题,我们开发了一种适用于心脏弹性成像的高效两遍跟踪方法。最初为图像编辑而开发的PatchMatch已被改编用于超声,以提供第一遍位移估计。第二遍估计在小得多的搜索区域内使用传统的块匹配。然后使用先前证明对散斑去相关有效的相关滤波获得三维位移。模拟和犬类心脏实验结果均表明,与传统的三维穷举搜索相比,所提出的两遍方法将计算成本降低了10倍。此外,相对于可用的真实位移,其均方根误差方面比一遍跟踪性能提高约3倍。