A parametric evaluation of shear wave speeds estimated with time-of-flight calculations in viscoelastic media

Luke M. Wiseman, Matthew W. Urban, Robert J. McGough

Research output: Contribution to journalArticlepeer-review

Abstract

Shear wave elasticity imaging (SWEI) uses an acoustic radiation force to generate shear waves, and then soft tissue mechanical properties are obtained by analyzing the shear wave data. In SWEI, the shear wave speed is often estimated with time-of-flight (TOF) calculations. To characterize the errors produced by TOF calculations, three-dimensional (3D) simulated shear waves are described by time-domain Green's functions for a Kelvin-Voigt model evaluated for multiple combinations of the shear elasticity and the shear viscosity. Estimated shear wave speeds are obtained from cross correlations and time-to-peak (TTP) calculations applied to shear wave particle velocities and shear wave particle displacements. The results obtained from these 3D shear wave simulations indicate that TTP calculations applied to shear wave particle displacements yield effective estimates of the shear wave speed if noise is absent, but cross correlations applied to shear wave particle displacements are more robust when the effects of noise and shear viscosity are included. The results also show that shear wave speeds estimated with TTP methods and cross correlations using shear wave particle velocities are more sensitive to increases in shear viscosity and noise, which suggests that superior estimates of the shear wave speed are obtained from noiseless or noisy shear wave particle displacements.

Original languageEnglish (US)
Pages (from-to)1349-1371
Number of pages23
JournalJournal of the Acoustical Society of America
Volume148
Issue number3
DOIs
StatePublished - Sep 1 2020

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'A parametric evaluation of shear wave speeds estimated with time-of-flight calculations in viscoelastic media'. Together they form a unique fingerprint.

Cite this