@inproceedings{f308161936344db4af667ad654ef7ddd,
title = "Parametric estimation of shear viscosity estimated with a nonlinear least-squares approach in viscoelastic media",
abstract = "Shear wave elasticity imaging (SWEI) generates shear waves using an acoustic radiation force, then mechanical properties are obtained by analyzing shear wave data. Shear wave speed is estimated using time-of-flight methods that use cross-correlation and time-to-peak methods; however, shear viscosity is often neglected, which leads to estimation bias. Rapid dispersion and attenuation of shear waves is caused by the presence of shear viscosity in soft tissue which confounds the estimation of shear modulus or shear wave speed. To obtain estimated values of shear viscosity, a nonlinear least-squares approach is applied to simulated shear particle velocity waveforms in the presence of Gaussian noise. The results show that the nonlinear least-squares approach yields robust estimates of the shear viscosity within a two-dimensional plane.",
keywords = "Nonlinear least-squares, shear viscosity, viscoelasticity",
author = "Bannon, {Nicholas A.} and Urban, {Matthew W.} and McGough, {Robert J.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Ultrasonics Symposium, IUS 2023 ; Conference date: 03-09-2023 Through 08-09-2023",
year = "2023",
doi = "10.1109/IUS51837.2023.10306691",
language = "English (US)",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
booktitle = "IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings",
}