Shear wave viscoelasticity imaging using local system identification

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1 Citaat (Scopus)

Samenvatting

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.
Originele taal-2Engels
Titel2017 IEEE International Ultrasonics Symposium (IUS)
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie9781538633830
ISBN van geprinte versie978-1-5386-3383-0
DOI's
StatusGepubliceerd - 31 okt 2017
Evenement2017 IEEE International Ultrasonics Symposium - e Omni Shoreham Hotel, Washington, Verenigde Staten van Amerika
Duur: 6 sep 20179 sep 2017
http://ewh.ieee.org/conf/ius/2017/

Congres

Congres2017 IEEE International Ultrasonics Symposium
Verkorte titelIEEE iUS
LandVerenigde Staten van Amerika
StadWashington
Periode6/09/179/09/17
Internet adres

Citeer dit

van Sloun, R. J. G., Wildeboer, R. R., 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. https://doi.org/10.1109/ULTSYM.2017.8091535