A Time-Shifted Fractional Calculus Model for Shear Wave Parameter Estimation in Viscoelastic Soft Tissue

Robert J. McGough; Matthew W. Urban

doi:10.1109/IUS51837.2023.10307485

A Time-Shifted Fractional Calculus Model for Shear Wave Parameter Estimation in Viscoelastic Soft Tissue

Robert J. McGough, Matthew W. Urban

Physiology & Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A time-shifted fractional calculus model is introduced for shear wave parameter estimation. This fractional calculus model, which is based on the Power Law Wave Equation, is evaluated with measured shear wave data acquired from ex vivo pig liver. One of the advantages of the time-shifted fractional calculus model is that the attenuation constant and the power law exponent are decoupled from the shear wave speed, which reduces the number of parameters determined by the estimation procedure from three to two. Results show that the time-shifted fractional calculus model achieves excellent agreement with measured shear wave particle velocities obtained from ex vivo pig liver.

Original language	English (US)
Title of host publication	IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350346459
DOIs	https://doi.org/10.1109/IUS51837.2023.10307485
State	Published - 2023
Event	2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada Duration: Sep 3 2023 → Sep 8 2023

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Conference

Conference	2023 IEEE International Ultrasonics Symposium, IUS 2023
Country/Territory	Canada
City	Montreal
Period	9/3/23 → 9/8/23

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1109/IUS51837.2023.10307485

Cite this

A Time-Shifted Fractional Calculus Model for Shear Wave Parameter Estimation in Viscoelastic Soft Tissue. / McGough, Robert J.; Urban, Matthew W.
IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 2023. (IEEE International Ultrasonics Symposium, IUS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

McGough, RJ & Urban, MW 2023, A Time-Shifted Fractional Calculus Model for Shear Wave Parameter Estimation in Viscoelastic Soft Tissue. in IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings. IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, 2023 IEEE International Ultrasonics Symposium, IUS 2023, Montreal, Canada, 9/3/23. https://doi.org/10.1109/IUS51837.2023.10307485

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abstract = "A time-shifted fractional calculus model is introduced for shear wave parameter estimation. This fractional calculus model, which is based on the Power Law Wave Equation, is evaluated with measured shear wave data acquired from ex vivo pig liver. One of the advantages of the time-shifted fractional calculus model is that the attenuation constant and the power law exponent are decoupled from the shear wave speed, which reduces the number of parameters determined by the estimation procedure from three to two. Results show that the time-shifted fractional calculus model achieves excellent agreement with measured shear wave particle velocities obtained from ex vivo pig liver.",

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AB - A time-shifted fractional calculus model is introduced for shear wave parameter estimation. This fractional calculus model, which is based on the Power Law Wave Equation, is evaluated with measured shear wave data acquired from ex vivo pig liver. One of the advantages of the time-shifted fractional calculus model is that the attenuation constant and the power law exponent are decoupled from the shear wave speed, which reduces the number of parameters determined by the estimation procedure from three to two. Results show that the time-shifted fractional calculus model achieves excellent agreement with measured shear wave particle velocities obtained from ex vivo pig liver.

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A Time-Shifted Fractional Calculus Model for Shear Wave Parameter Estimation in Viscoelastic Soft Tissue

Abstract

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ASJC Scopus subject areas

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