利用改进迭代射频回波相位匹配算法的精细弹性成像

C. Sumi, K. Nakayama, M. Kubota
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引用次数: 4

摘要

值得注意的是,活体软组织的病理状态与准静态力学特性,即弹性特性高度相关。考虑到这一事实,我们之前开发了“迭代二维射频回波相位匹配方法”,该方法确定在获取两个连续的射频回波数据帧时在体内软组织中产生的二维位移矢量场。也就是说,由于这种位移测量可以准确地估计得到的应变分布,我们可以通过确定相对剪切模量分布来稳定地量化组织弹性。为了实现更精细的弹性成像,我们对以前的位移测量方法进行了改进,以实现更好的相位匹配。也就是说,我们在之前的机制中新颖地加入了一种有效的机制:在迭代阶段匹配过程中适当地缩小局部区域的大小。这样可以提高最终得到的弹性图像的质量。通过仿真、体外猪肉和体内乳腺组织实验验证了该方法的有效性。
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Fine elasticity imaging utilizing the refined iterative rf-echo phase matching algorithm
It is quite remarkable that the pathological state of living soft tissue highly correlates with quasi-static mechanical properties, i.e., particularly elasticity. With such a fact in mind, we previously developed "the iterative 2D rf-echo phase matching method" that determines the 2D displacement vector field generated in in vivo soft tissue during acquisition of two successive rf-echo data frames. That is, since this displacement measurement allows an accurate estimate of the resultant strain distributions to be obtained, we can stably quantify the tissue elasticity by determining the relative shear modulus distribution. Toward the finer elasticity imaging, we recently improved the previous displacement measurement method such that better phase matching can be realized. That is, we novelly incorporate an effective mechanism into the previous one: the local region size is made suitably smaller during the iterative phase matching. This leads to improvement of the quality of the finally obtained elasticity image. The effectiveness was verified through simulation, and an experiment on in vitro pork and in vivo breast tissues.
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