Twin Peak Method for Estimating Tissue Viscoelasticity using Shear Wave Elastography.

ArXiv Pub Date : 2024-11-18
Shuvrodeb Adikary, Matthew W Urban, Murthy N Guddati
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Abstract

Tissue viscoelasticity is becoming an increasingly useful biomarker beyond elasticity and can theoretically be estimated using shear wave elastography (SWE), by inverting the propagation and attenuation characteristics of shear waves. Estimating viscosity is often more difficult than elasticity because attenuation, the main effect of viscosity, leads to poor signal-to-noise ratio of the shear wave motion. In the present work, we provide an alternative to existing methods of viscoelasticity estimation that is robust against noise. The method minimizes the difference between simulated and measured versions of two sets of peaks (twin peaks) in the frequency-wavenumber domain, obtained first by traversing through each frequency and then by traversing through each wavenumber. The slopes and deviation of the twin peaks are sensitive to elasticity and viscosity respectively, leading to the effectiveness of the proposed inversion algorithm for characterizing mechanical properties. This expected effectiveness is confirmed through in silico verification, followed by ex vivo validation and in vivo application, indicating that the proposed approach can be effectively used in accurately estimating viscoelasticity, thus potentially contributing to the development of enhanced biomarkers.

利用剪切波弹性成像估算组织粘弹性的双峰法
组织粘弹性正日益成为一种超越弹性的有用生物标志物,理论上可以利用剪切波弹性成像(SWE)技术,通过反演剪切波的传播和衰减特性来估算组织粘弹性。估算粘度通常比估算弹性更为困难,因为粘度的主要影响因素--衰减会导致剪切波运动的信噪比降低。在本研究中,我们提供了一种可替代现有粘弹性估算方法的方法,该方法对噪声具有鲁棒性。该方法首先通过遍历每个频率,然后通过遍历每个波长,将频率-波长域中两组峰值(双峰)的模拟值与测量值之间的差值最小化。孪生峰的斜率和偏差分别对弹性和粘度敏感,这说明所提出的反演算法在表征机械特性方面非常有效。这种预期的有效性通过硅学验证、体内外验证和体内应用得到了证实,表明所提出的方法可以有效地用于准确估计粘弹性,从而为开发增强型生物标记物做出潜在贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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