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• W2794202166 abstract "Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of two-dimensional (2-D) methods to three dimensions (3-D) has been problematic because of the large computational load of 3-D tracking, as well as performance issues related to the low frame (volume) rates of 3-D images. To address both of these problems, we have developed an efficient two-pass tracking method suited to cardiac elasticity imaging. PatchMatch, originally developed for image editing, has been adapted for ultrasound to provide first-pass displacement estimates. Second-pass estimation uses conventional block matching within a much smaller search region. 3-D displacements are then obtained using correlation filtering previously shown to be effective against speckle decorrelation. Both simulated and in vivo canine cardiac results demonstrate that the proposed two-pass method reduces computational cost compared to conventional 3-D exhaustive search by a factor of 10. Moreover, it outperforms one-pass tracking by a factor of about 3 in terms of root-mean-square error relative to available ground-truth displacements." @default.
• W2794202166 created "2018-03-29" @default.
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• W2794202166 date "2018-01-01" @default.
• W2794202166 modified "2023-09-23" @default.
• W2794202166 title "Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging" @default.
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• W2794202166 doi "https://doi.org/10.1109/access.2018.2815522" @default.
• W2794202166 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6365000" @default.
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