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Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements

Publication ,  Journal Article
Dumont, D; Palmeri, M; Eyerly, S; Wolf, P; Byram, B
Published in: IEEE International Ultrasonics Symposium, IUS
October 20, 2014

Accurate displacement estimation can be a challenging task in acoustic radiation force elastography, where signal decorrelation can degrade the ability of a normalized cross-correlation (NCC) estimator to characterize the tissue response. In this work, we describe a Bayesian estimation scheme which models both signal decorrelation and thermal noise, and uses an edge-preserving, generalized Gaussian Markov random field prior. The performance of the estimator was evaluated in FEM simulations modeling the acoustic radiation force impulse response in a linearly-isotropic material. Bias, variance, and mean-square error were calculated over a range of estimator parameters, and compared to NCC. The results demonstrate that a significant reduction in mean-square error can be achieved with the proposed estimator. Finally, in vivo data of an radio-frequency ablation in a canine model are shown, demonstrating the in vivo feasibility of the proposed method.

Duke Scholars

Published In

IEEE International Ultrasonics Symposium, IUS

DOI

EISSN

1948-5727

ISSN

1948-5719

Publication Date

October 20, 2014

Start / End Page

1845 / 1848
 

Citation

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Dumont, D., Palmeri, M., Eyerly, S., Wolf, P., & Byram, B. (2014). Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements. IEEE International Ultrasonics Symposium, IUS, 1845–1848. https://doi.org/10.1109/ULTSYM.2014.0458
Dumont, D., M. Palmeri, S. Eyerly, P. Wolf, and B. Byram. “Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements.” IEEE International Ultrasonics Symposium, IUS, October 20, 2014, 1845–48. https://doi.org/10.1109/ULTSYM.2014.0458.
Dumont D, Palmeri M, Eyerly S, Wolf P, Byram B. Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements. IEEE International Ultrasonics Symposium, IUS. 2014 Oct 20;1845–8.
Dumont, D., et al. “Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements.” IEEE International Ultrasonics Symposium, IUS, Oct. 2014, pp. 1845–48. Scopus, doi:10.1109/ULTSYM.2014.0458.
Dumont D, Palmeri M, Eyerly S, Wolf P, Byram B. Feasibility of using a generalized-Gaussian Markov random field prior for Bayesian speckle tracking of small displacements. IEEE International Ultrasonics Symposium, IUS. 2014 Oct 20;1845–1848.

Published In

IEEE International Ultrasonics Symposium, IUS

DOI

EISSN

1948-5727

ISSN

1948-5719

Publication Date

October 20, 2014

Start / End Page

1845 / 1848