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A robust bidirectional motion-compensated interpolation algorithm to enhance temporal resolution of 3D echocardiography

机译:一种强大的双向运动补偿插值算法,提升3D超声心动图的时间分辨率

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High frame rate three-dimensional echocardiography (3DE) improves the assessment of the cardiac dynamics by providing a realistic view of the cardiac structures. However, since the field of view in 3D is large and the speed of sound in tissue is limited, one must sacrifice some spatial resolution to achieve a temporally smoothed sequence of 3DE data. Motion-compensated frame interpolation provides a means to enhance perceived temporal resolution without degrading the spatial resolution. Among the existing interpolation techniques, motion-compensated interpolation based on 3D speckle tracking (3DST) is very simple to implement and can be applied in real time since it is well suited for parallel processing. However, the performance of this approach deteriorates in low frame rate 3DE due to large inter-frame displacements. In this paper, we propose a new 3DST-based motion-compensated interpolation algorithm based on a multiscale bidirectional motion estimator. The proposed estimator improves the reliability of the motion estimate at the coarsest scale by utilizing a multidirectional speckle tracker. Moreover, the proposed 3DST algorithm requires smaller search regions for an equivalent search effect compared to the existing algorithms; therefore, it reduces the computation time of 3DST. To reduce the interpolation artifacts caused by decorrelation of the speckle pattern and inaccurate motion estimates, we develop an adaptive interpolation scheme based on robust statistics and the structural similarity index. Experimental results demonstrate that the proposed algorithm, compared to an existing 3DST-based algorithm, greatly reduces the interpolation artifacts such as ghosting and blurring, especially near fast-moving cardiac structures.
机译:高帧速率三维超声心动图(3DE)通过提供心脏结构的真实图来改善心动力学的评估。然而,由于3D中的视野大而且组织中的声速受到限制,因此必须牺牲一些空间分辨率以实现时间平滑的3DE数据序列。运动补偿帧插值提供了一种增强感知时间分辨率而不会降低空间分辨率的方法。在现有的插值技术中,基于3D散斑跟踪(3DST)的运动补偿插值非常简单地实现,并且可以实时应用,因为它非常适合并行处理。然而,由于大的帧间位移,这种方法的性能恶化了低帧速率3DE。在本文中,我们提出了一种基于多尺度双向运动估计器的基于3DST的运动补偿插值算法。通过利用多向散斑跟踪器,所提出的估计器通过最粗略的尺度提高了运动估计的可靠性。此外,与现有算法相比,所提出的3DST算法需要较小的搜索区域进行等效搜索效果;因此,它减少了3DST的计算时间。为了减少由散斑图案的去相关性和不准确的运动估计引起的插值伪像,我们基于鲁棒统计和结构相似性索引开发自适应插值方案。实验结果表明,与现有的基于3DST的算法相比,该算法大大减少了诸如重影和模糊的插值伪像,尤其是在快速移动的心脏结构附近。

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