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Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias

Publication ,  Conference
Morris, DC; Rouze, N; Palmeri, M; Nightingale, K
Published in: IEEE International Ultrasonics Symposium, IUS
October 31, 2017

Shear Wave Elasticity Imaging is used to assess liver fibrosis, as shear wave speed (SWS) correlates with fibrosis stage. We have previously proposed a group SWS-based method to derive the tissue's stiffness (μ) and viscosity (η) using an analytic solution for the shear wave propagation in a Voigt material which accounts for the source excitation geometry [Rouze et al., IEEE IUS 2016]. However, in vivo factors such as phase aberration and nonlinear propagation cause the excitation beam pattern to differ from the modeled geometry. This work assesses the error introduced in material parameter determination by a range of perturbations in source geometry.

Duke Scholars

Published In

IEEE International Ultrasonics Symposium, IUS

DOI

EISSN

1948-5727

ISSN

1948-5719

ISBN

9781538633830

Publication Date

October 31, 2017
 

Citation

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Morris, D. C., Rouze, N., Palmeri, M., & Nightingale, K. (2017). Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias. In IEEE International Ultrasonics Symposium, IUS. https://doi.org/10.1109/ULTSYM.2017.8092059
Morris, D. C., N. Rouze, M. Palmeri, and K. Nightingale. “Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias.” In IEEE International Ultrasonics Symposium, IUS, 2017. https://doi.org/10.1109/ULTSYM.2017.8092059.
Morris DC, Rouze N, Palmeri M, Nightingale K. Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias. In: IEEE International Ultrasonics Symposium, IUS. 2017.
Morris, D. C., et al. “Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias.” IEEE International Ultrasonics Symposium, IUS, 2017. Scopus, doi:10.1109/ULTSYM.2017.8092059.
Morris DC, Rouze N, Palmeri M, Nightingale K. Group-shearwave based viscoelastic parameter estimation: Analysis of sources of bias. IEEE International Ultrasonics Symposium, IUS. 2017.

Published In

IEEE International Ultrasonics Symposium, IUS

DOI

EISSN

1948-5727

ISSN

1948-5719

ISBN

9781538633830

Publication Date

October 31, 2017