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• W2183616254 abstract "Radiation-force-based elasticity imaging describes a group of techniques that use acoustic radiation force (ARF) to displace tissue to obtain qualitative or quantitative measurements of tissue properties. Because ARF-induced displacements are on the order of micrometers, tracking these displacements in vivo can be challenging. Previously, it has been shown that Bayesian-based estimation can overcome some of the limitations of a traditional displacement estimator such as normalized cross-correlation (NCC). In this work, we describe a Bayesian framework that combines a generalized Gaussian-Markov random field (GGMRF) prior with an automated method for selecting the prior's width. We then evaluate its performance in the context of tracking the micrometer-order displacements encountered in an ARF-based method such as ARF impulse (ARFI) imaging. The results show that bias, variance, and mean-square error (MSE) performance vary with prior shape and width, and that an almost one order-of-magnitude reduction in MSE can be achieved by the estimator at the automatically selected prior width. Lesion simulations show that the proposed estimator has a higher contrast-to-noise ratio but lower contrast than NCC, median-filtered NCC, and the previous Bayesian estimator, with a non-Gaussian prior shape having better lesion-edge resolution than a Gaussian prior. In vivo results from a cardiac, radio-frequency ablation ARFI imaging dataset show quantitative improvements in lesion contrast-to-noise ratio over NCC as well as the previous Bayesian estimator." @default.
• W2183616254 created "2016-06-24" @default.
• W2183616254 creator A5056744123 @default.
• W2183616254 creator A5079036287 @default.
• W2183616254 date "2016-01-01" @default.
• W2183616254 modified "2023-09-24" @default.
• W2183616254 title "Robust Tracking of Small Displacements With a Bayesian Estimator" @default.
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• W2183616254 doi "https://doi.org/10.1109/tuffc.2015.2495111" @default.
• W2183616254 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4778404" @default.
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