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Spectral Quantification of Nonlinear Elasticity using Acousto-elasticity and Shear-Wave Dispersion


Otesteanu, Corin F; Chintada, Bhaskara R; Rominger, Marga B; Sanabria, Sergio J; Goksel, Orcun (2019). Spectral Quantification of Nonlinear Elasticity using Acousto-elasticity and Shear-Wave Dispersion. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 66(12):1845-1855.

Abstract

Tissue biomechanical properties are known to be sensitive to pathological changes. Accordingly, various techniques have been developed to estimate tissue mechanical properties. Shear-wave elastography (SWE) measures shear-wave speed (SWS) in tissues, which can be related to shear modulus. Although viscosity or stress-strain non-linearity may act as confounder of SWE, their explicit characterization may also provide additional information about tissue composition as a contrast modality. Viscosity can be related to frequency dispersion of SWS, which can be characterized using multi-frequency measurements, herein called spectral shear-wave elastography (SSWE). Additionally, non-linear shear modulus can be quantified and parameterized based on SWS changes with respect to applied stress; a phenomenon called acousto-elasticity (AE). In this work, we characterize the non-linear parameters of tissue as a function of excitation frequency by utilizing both AE and SSWE together. For this, we apply incremental amounts of quasi-static stress on a medium, while imaging and quantifying SWS dispersion via SSWE. Results from phantom and ex-vivo porcine liver experiments demonstrate the feasibility of measuring frequency-dependent non-linear parameters using the proposed method. SWS propagation in porcine liver tissue was observed to change from 1.8 m/s at 100 Hz to 3.3 m/s at 700 Hz, while increasing by approximately 25% from a strain of 0% to 12% across these frequencies. Index terms-Ultrasound, elastography, acousto-elasticity, tissue non-linearity, shear-wave dispersion.

Abstract

Tissue biomechanical properties are known to be sensitive to pathological changes. Accordingly, various techniques have been developed to estimate tissue mechanical properties. Shear-wave elastography (SWE) measures shear-wave speed (SWS) in tissues, which can be related to shear modulus. Although viscosity or stress-strain non-linearity may act as confounder of SWE, their explicit characterization may also provide additional information about tissue composition as a contrast modality. Viscosity can be related to frequency dispersion of SWS, which can be characterized using multi-frequency measurements, herein called spectral shear-wave elastography (SSWE). Additionally, non-linear shear modulus can be quantified and parameterized based on SWS changes with respect to applied stress; a phenomenon called acousto-elasticity (AE). In this work, we characterize the non-linear parameters of tissue as a function of excitation frequency by utilizing both AE and SSWE together. For this, we apply incremental amounts of quasi-static stress on a medium, while imaging and quantifying SWS dispersion via SSWE. Results from phantom and ex-vivo porcine liver experiments demonstrate the feasibility of measuring frequency-dependent non-linear parameters using the proposed method. SWS propagation in porcine liver tissue was observed to change from 1.8 m/s at 100 Hz to 3.3 m/s at 700 Hz, while increasing by approximately 25% from a strain of 0% to 12% across these frequencies. Index terms-Ultrasound, elastography, acousto-elasticity, tissue non-linearity, shear-wave dispersion.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Diagnostic and Interventional Radiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > Instrumentation
Physical Sciences > Acoustics and Ultrasonics
Physical Sciences > Electrical and Electronic Engineering
Language:English
Date:1 December 2019
Deposited On:11 Sep 2019 13:54
Last Modified:29 Jul 2020 11:18
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0885-3010
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/TUFFC.2019.2933952
PubMed ID:31398118

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