Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging

Geng Shi Jeng, Maria Zontak, Nripesh Parajuli, Allen Lu, Kevinminh Ta, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell*

*Corresponding author for this work

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of 2-D methods to 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 with 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.

原文English
頁(從 - 到)17415-17428
頁數14
期刊IEEE Access
6
DOIs
出版狀態Published - 12 三月 2018

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