基于改进三维有限元模型的定量组织弹性图像快速重建

M. Yamakawa, T. Shiina, T. Matsumura, T. Mitake
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引用次数: 0

摘要

对于组织弹性成像,应变成像技术正在临床试验中使用(3)。然而,应变成像对应于可视化组织硬度的定性信息。因此,在本研究中,我们提出了一种利用一维阵列超声探头从超声数据中尽可能定量地重建组织硬度的方法。在这种方法中,我们使用了一个改进的三维有限元模型。使用该模型,可以仅从二维应变分布估计杨氏模量。此外,由于我们可以在修正的三维模型中使用更真实的三维弹性方程,因此可以更定量地估计杨氏模量。将该方法与基于一维模型、二维模型和三维模型的其他方法的性能进行了比较。因此,虽然该方法的精度与三维模型方法相当,但该方法的精度比一维模型方法高4.0倍,比二维模型方法高3.0 ~ 1.5倍。此外,该方法可以实现比使用三维模型的方法快约170倍的高速处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast reconstruction of quantitative tissue elasticity image based on modified 3-d finite-element model
For tissue elasticity imaging, strain imaging technique is being used in clinical tests (3). However, strain image corresponds to visualizing the qualitative information about tissue hardness. Therefore, in this study, we propose a method for reconstructing tissue hardness as quantitatively as possible from ultrasound data using 1-D array ultrasonic probe. In this method, we use a modified 3-D finite-element model. Using this model, it becomes possible to estimate Young's modulus only from the 2-D strain distribution. Moreover, since we can use the more realistic 3-D elastic equations in the modified 3-D model, it is possible to estimate Young's modulus more quantitatively. We compared the performance of the proposed method with other methods based on the 1-D model, 2-D model and 3-D model. Consequently, although the proposed method is comparable to the 3-D model method in accuracy, this method has 4.0 times precision better than the 1-D model method, 3.0 to 1.5 times precision better than the 2-D model method. Moreover, the proposed method can attain high-speed processing about 170 times faster than the method using 3-D model.
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