| Literature DB >> 30740286 |
Geng-Shi Jeng1, Maria Zontak2, Nripesh Parajuli3, Allen Lu4, Kevinminh Ta4, Albert J Sinusas5, James S Duncan3,4,5, Matthew O'Donnell1.
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.Entities:
Keywords: 3-D speckle tracking; PatchMatch; correlation filter; multi-pass tracking; speckle decorrelation; strain imaging; ultrasound elasticity imaging; ultrasound imaging
Year: 2018 PMID: 30740286 PMCID: PMC6365000 DOI: 10.1109/ACCESS.2018.2815522
Source DB: PubMed Journal: IEEE Access ISSN: 2169-3536 Impact factor: 3.367