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首页> 外文期刊>Journal of Medical Ultrasonics >Shear modulus reconstruction by ultrasonically measured strain ratio
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Shear modulus reconstruction by ultrasonically measured strain ratio

机译:通过超声测量的应变比重建剪切模量

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摘要

In addition to a description of our three previously developed one-dimensional (1D) methods from the viewpoint of shear modulus reconstruction using the strain ratio, two new methods for stabilizing the 1D methods are described, together with their limitations. As confirmed using human in vivo breast tissues, method 1 for evaluating the strain ratio itself is useful when the measurement accuracy of the strain distribution is high. However, because tissues having high shear moduli, such as scirrhous carcinoma, often form singular points/regions, both methods 2 and 3 using the strain ratio (initial estimate) and a regularization method are effective for realizing a unique, stable, useful shear modulus reconstruction. Because method 3 carries out implicit integration only at singular points/regions, whereas method 2 carries out implicit integration throughout the region of interest (ROI), the smaller number of singular points enables more rapid shear modulus reconstruction by method 3 than by method 2. Like method 1, method 3 is also useful when the measurement accuracy of the strain distribution is high. However, when evaluating strain distribution in an ROI with a high spatial resolution to obtain a shear modulus reconstruction having a high spatial resolution, shear modulus reconstructions obtained by methods 1, 2, and 3 often become laterally unstable due to the instability and low accuracy of the strains in the reference regions (reference strains), i.e., regularization in methods 2 and 3 cannot reduce the instability in the initial estimate.
机译:除了从使用应变比的剪切模量重建的角度对我们先前开发的三种一维(1D)方法进行描述之外,还介绍了两种稳定一维方法的新方法及其局限性。如使用人体内乳腺组织所证实的,当应变分布的测量精度高时,用于评估应变比本身的方法1是有用的。但是,由于具有高剪切模量的组织(例如肝癌)通常会形成奇异点/区域,因此使用应变比(初始估计)和正则化方法的方法2和3均可有效实现独特,稳定,有用的剪切模量重建。因为方法3仅在奇异点/区域执行隐式积分,而方法2在整个感兴趣区域(ROI)进行隐式积分,所以方法3相比方法2较少的奇异点数量可以实现更快的剪切模量重构。像方法1一样,当应变分布的测量精度很高时,方法3也很有用。然而,当在具有高空间分辨率的ROI中评估应变分布以获得具有高空间分辨率的剪切模量重构时,由于方法1、2和3获得的剪切模量重构的不稳定性和较低的精度常常在横向上变得不稳定。参考区域中的应变(参考应变),即方法2和3中的正则化不能减少初始估计中的不稳定性。

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