ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2020
Fast Local Phase Velocity-Based Imaging: Shear Wave Particle Velocity and Displacement Motion Study.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Local phase velocity imaging with wavenumber filter banks for ultrasound shear wave elastography.Computer methods and programs in biomedicine · 2025Article
- Ultrasound Shear Elastography With Expanded Bandwidth (USEWEB): A Novel Method for 2D Shear Phase Velocity Imaging of Soft Tissues.IEEE transactions on medical imaging · 2024Article
- Evaluation of Robustness of S-Transform Based Phase Velocity Estimation in Viscoelastic Phantoms and Renal Transplants.IEEE transactions on bio-medical engineering · 2024Article
- Evaluation of Robustness of Local Phase Velocity Imaging in Homogenous Tissue-Mimicking Phantoms.Ultrasound in medicine & biology · 2021Article
- Phase Velocity Estimation With Expanded Bandwidth in Viscoelastic Phantoms and Tissues.IEEE transactions on medical imaging · 2021Article
- Local Phase Velocity Based Imaging of Viscoelastic Phantoms and Tissues.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Four-dimensional (4D) phase velocity optical coherence elastography in heterogeneous materials and biological tissue.Biomedical optics express · 2020Article
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Fast and precise noninvasive evaluation of tissue mechanical properties is of high importance in ultrasound shear wave elastography. In this study, we present an updated, faster version of the local phase velocity-based imaging (LPVI) method used to create images of local phase velocity in soft tissues. The updated LPVI implementation uses 1-D Fourier transforms in spatial dimensions separately in comparison to its original implementation. A directional filter is applied upon the shear wave field to extract the left-to-right (LR) and right-to-left (RL) propagating shear waves. A local shear wave phase velocity map is recovered based on both LR and RL waves. Finally, a 2-D shear wave velocity map is reconstructed by combining the LR and RL phase velocity maps. LPVI performance for shear wave displacement and velocity-wave motion data is examined. A study of LPVI used for only one data acquisition with multiple focused ultrasound push beams is presented. The lesion placement with respect to the pushes and whether two sequential pushes provided different results from two simultaneous radiation force pushes was investigated. The addition of white Gaussian noise to the wave motion data was also tested to examine the LPVI method's performance. Robust and accurate shear wave phase velocity maps are reconstructed using the proposed LPVI method using numerical tissue-mimicking phantoms with inclusions. Results from the numerical phantom study showed that the reconstructed, asymmetric inclusions, for various axial locations, are better preserved for shear wave particle velocity signals compared with particle displacement motion data.
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