应变复合在超声心动图中减少斑点的可行性

Yuexin Guo, Wei-Ning Lee
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摘要

应变复合已经作为一种减少散斑噪声的方法而被开发出来。该技术基于介质上不同应变水平引起的散斑去相关,已被证明在外部准静态压缩的人体浅表软组织中是可行的。本研究探讨应变复合在超声心动图中的作用。首先定义心动周期的时间门,选择中间超声心动图帧作为参考图像。然后估计临时门控图像的平面内运动,并用于相对于参考帧的图像校正。最后,对空间匹配的图像进行平均处理,得到消斑图像。不仅前提变形源于心脏的自然收缩,而且计算效率也可以通过简单地使用心脏应变成像产生的应变估计来保持,这已经成为临床常用的工具。通过商用超声成像系统,以70帧/秒的帧率获得了正常人类心脏在6个心动周期内的心尖四腔、长轴和短轴视图的超声图像。结果表明,在根尖四腔和长轴视图中,应变复合图像的间隔壁段信噪比分别提高了约7.9%、8.4%和11.3%。还观察到应变复合的性能与一种成熟的方法,散斑减少各向异性扩散(SRAD)相当。
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On the feasibility of speckle reduction in echocardiography using strain compounding
Strain compounding has been previously developed as an approach to reducing speckle noise. The technique is based on speckle de-correlation induced by different strain levels applied on the medium and has been demonstrated feasible in the human superficial soft tissues under external quasi-static compression. In this study, the efficacy of strain compounding in echocardiography was investigated. A temporal gate in a cardiac cycle was first defined, with the middle echocardiographic frame selected as the reference image. The in-plane motion of the temporally gated images was then estimated and used for image correction with respect to the reference frame. Finally, the spatially matched images were averaged to form a speckle reduced image. Not only did the prerequisite deformation stem from the natural contraction of the heart, but the computational efficiency could also remain by simply using the strain estimates yielded from cardiac strain imaging, which has become a commonly used tool in the clinic. Ultrasonic images of a normal human heart over six cardiac cycles were acquired by a commercial ultrasound imaging system at a frame rate of 70 fps in the apical four-chamber, long-axis and short-axis views. The results show approximately 7.9%, 8.4%, and 11.3% improvements in the signal-to-noise ratio (SNR) of the septal wall segment of the strain-compounded images in the apical four-chamber and long-axis views, respectively. Comparable performance of strain compounding to that of a well-established method, Speckle Reducing Anisotropic Diffusion (SRAD), was also observed.
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