Shear wave viscoelasticity imaging using local system identification

R.J.G. van Sloun; R.R. Wildeboer; H. Wijkstra; M. Mischi

doi:10.1109/ULTSYM.2017.8091535

Shear wave viscoelasticity imaging using local system identification

R.J.G. van Sloun, R.R. Wildeboer, H. Wijkstra, M. Mischi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

Tissue elasticity is an important parameter which relates to the pathological state of soft tissue. Fibrotic lesions or malignant tumors are known to be notoriously stiff compared to benign tissue. Shear wave elastography can provide a fully quantitative measure of lesion stiffness by estimating the speed at which acoustically induced shear waves propagate through the material. This speed is in turn related to the Young's modulus. In soft tissue, elasticity is generally accompanied by viscosity, leading to dispersion of the shear wave. For the detection and characterization of malignant lesions, viscosity has in fact diagnostic value. Here, we describe a new method that enables imaging not only elasticity but also viscosity from shear wave elastography by local model-based system identification. We show that the proposed method can be applied effectively to standard shear wave acquisitions, and is able to generate high-resolution parametric maps of the viscoelastic material properties in an in-vitro setting.

Original language	English
Title of host publication	2017 IEEE International Ultrasonics Symposium (IUS)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9781538633830
ISBN (Print)	978-1-5386-3383-0
DOIs	https://doi.org/10.1109/ULTSYM.2017.8091535
Publication status	Published - 31 Oct 2017
Event	2017 IEEE International Ultrasonics Symposium (IUS 2017) - e Omni Shoreham Hotel, Washington, United States Duration: 6 Sept 2017 → 9 Sept 2017 http://ewh.ieee.org/conf/ius/2017/

Conference

Conference	2017 IEEE International Ultrasonics Symposium (IUS 2017)
Abbreviated title	IUS 2017
Country/Territory	United States
City	Washington
Period	6/09/17 → 9/09/17
Internet address	http://ewh.ieee.org/conf/ius/2017/

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10.1109/ULTSYM.2017.8091535

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title = "Shear wave viscoelasticity imaging using local system identification",

abstract = "Tissue elasticity is an important parameter which relates to the pathological state of soft tissue. Fibrotic lesions or malignant tumors are known to be notoriously stiff compared to benign tissue. Shear wave elastography can provide a fully quantitative measure of lesion stiffness by estimating the speed at which acoustically induced shear waves propagate through the material. This speed is in turn related to the Young's modulus. In soft tissue, elasticity is generally accompanied by viscosity, leading to dispersion of the shear wave. For the detection and characterization of malignant lesions, viscosity has in fact diagnostic value. Here, we describe a new method that enables imaging not only elasticity but also viscosity from shear wave elastography by local model-based system identification. We show that the proposed method can be applied effectively to standard shear wave acquisitions, and is able to generate high-resolution parametric maps of the viscoelastic material properties in an in-vitro setting.",

author = "{van Sloun}, R.J.G. and R.R. Wildeboer and H. Wijkstra and M. Mischi",

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van Sloun, RJG, Wildeboer, RR, Wijkstra, H & Mischi, M 2017, Shear wave viscoelasticity imaging using local system identification. in 2017 IEEE International Ultrasonics Symposium (IUS)., 8091535, Institute of Electrical and Electronics Engineers, Piscataway, 2017 IEEE International Ultrasonics Symposium (IUS 2017), Washington, United States, 6/09/17. https://doi.org/10.1109/ULTSYM.2017.8091535

Shear wave viscoelasticity imaging using local system identification. / van Sloun, R.J.G.; Wildeboer, R.R.; Wijkstra, H. et al.
2017 IEEE International Ultrasonics Symposium (IUS). Piscataway: Institute of Electrical and Electronics Engineers, 2017. 8091535.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Shear wave viscoelasticity imaging using local system identification

AU - van Sloun, R.J.G.

AU - Wildeboer, R.R.

AU - Wijkstra, H.

AU - Mischi, M.

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Tissue elasticity is an important parameter which relates to the pathological state of soft tissue. Fibrotic lesions or malignant tumors are known to be notoriously stiff compared to benign tissue. Shear wave elastography can provide a fully quantitative measure of lesion stiffness by estimating the speed at which acoustically induced shear waves propagate through the material. This speed is in turn related to the Young's modulus. In soft tissue, elasticity is generally accompanied by viscosity, leading to dispersion of the shear wave. For the detection and characterization of malignant lesions, viscosity has in fact diagnostic value. Here, we describe a new method that enables imaging not only elasticity but also viscosity from shear wave elastography by local model-based system identification. We show that the proposed method can be applied effectively to standard shear wave acquisitions, and is able to generate high-resolution parametric maps of the viscoelastic material properties in an in-vitro setting.

AB - Tissue elasticity is an important parameter which relates to the pathological state of soft tissue. Fibrotic lesions or malignant tumors are known to be notoriously stiff compared to benign tissue. Shear wave elastography can provide a fully quantitative measure of lesion stiffness by estimating the speed at which acoustically induced shear waves propagate through the material. This speed is in turn related to the Young's modulus. In soft tissue, elasticity is generally accompanied by viscosity, leading to dispersion of the shear wave. For the detection and characterization of malignant lesions, viscosity has in fact diagnostic value. Here, we describe a new method that enables imaging not only elasticity but also viscosity from shear wave elastography by local model-based system identification. We show that the proposed method can be applied effectively to standard shear wave acquisitions, and is able to generate high-resolution parametric maps of the viscoelastic material properties in an in-vitro setting.

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M3 - Conference contribution

SN - 978-1-5386-3383-0

BT - 2017 IEEE International Ultrasonics Symposium (IUS)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2017 IEEE International Ultrasonics Symposium (IUS 2017)

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ER -

Shear wave viscoelasticity imaging using local system identification

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