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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Fine elasticity imaging utilizing the iterative RF-echo phase matching method
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Fine elasticity imaging utilizing the iterative RF-echo phase matching method

机译：利用迭代RF回波相位匹配方法进行精细弹性成像

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摘要

To non-invasively quantify elasticity of soft tissue, we previously developed the iterative two-dimensional (2-D) rf-echo phase matching method for accurately measuring a 2-D displacement vector field generated in vivo in soft tissue during acquisition of two successive rf-echo data frames. We also developed a stable method for uniquely reconstructing a shear modulus distribution using strains derived from the measurement data. However, as in our measurement method a displacement is determined by using the phase characteristics of the finite local echo data as the index to iteratively search for the corresponding local data, change of the local phase characteristics due to tissue deformation deteriorates the accuracy of the determination. Thus, we improve the previous method such that, in principle, the displacement can be determined using an infinitesimal phase characteristics. That is, we incorporate an effective mechanism into the previous iterative phase matching scheme: the local size is made suitably smaller during the iterative phase matching. The demonstrated ability of measurement and reconstruction in simulation, and experiments on in vitro in pork rib and in vivo in breast tissue, shows this refinement allows not only better spatial resolution of the shear modulus image but also improved accuracy, and indicates that the improved method has a high potential to be applied for various soft tissues.
机译：为了无创地量化软组织的弹性，我们先前开发了迭代二维（2-D）rf-echo相匹配方法，用于精确测量在采集两个连续的过程中在软组织中体内产生的二维位移矢量场射频回波数据帧。我们还开发了一种稳定的方法，可使用从测量数据得出的应变来唯一地重建剪切模量分布。然而，由于在我们的测量方法中，位移是通过使用有限的局部回波数据的相位特性作为索引来迭代搜索相应的局部数据来确定的，因此由于组织变形而引起的局部相位特性的变化会降低确定的准确性。因此，我们改进了先前的方法，以便原则上可以使用无穷小的相位特性确定位移。也就是说，我们在先前的迭代相位匹配方案中加入了一种有效的机制：在迭代相位匹配期间将局部大小适当减小。在仿真中表现出的测量和重建能力以及在猪肋骨中进行体外实验以及在乳腺组织中进行体内实验的能力表明，这种改进不仅可以提高剪切模量图像的空间分辨率，而且可以提高精度，并表明该改进方法具有用于各种软组织的高潜力。

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