ArticleIEEE transactions on medical imaging2020
A Spatial Coherence Beamformer Design for Power Doppler Imaging.
Article in IEEE transactions on medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Contrast-Free Ultrasound Microvascular Imaging via Radiality and Similarity Weighting.IEEE transactions on ultrasonics · 2026Article
- Adaptive and Robust Vessel Quantification in Contrast-Free Ultrafast Ultrasound Microvessel Imaging.Ultrasound in medicine & biology · 2022Article
- Spatial Coherence in Medical Ultrasound: A Review.Ultrasound in medicine & biology · 2022Review
- Spatiotemporal Coherence to Quantify Sources of Image Degradation in Ultrasonic Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Occult Regions of Suppressed Coherence in Liver B-Mode Images.Ultrasound in medicine & biology · 2022Article
- Multidimensional Clutter Filtering of Aperture Domain Data for Improved Blood Flow Sensitivity.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Simultaneous Noise Suppression and Incoherent Artifact Reduction in Ultrafast Ultrasound Vascular Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- High Resolution, High Contrast Beamformer Using Minimum Variance and Plane Wave Nonlinear Compounding with Low Complexity.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
Acoustic clutter is a primary source of image degradation in ultrasound imaging. In the context of flow imaging, tissue and acoustic clutter signals are often much larger in magnitude than the blood signal, which limits the sensitivity of conventional power Doppler in SNR-limited environments. This has motivated the development of coherence-based beamformers, including Coherent Flow Power Doppler (CFPD), which have demonstrated efficacy in mitigating sources of diffuse clutter. However, CFPD uses a measure of normalized coherence, which incurs a non-linear relationship between image intensity and the magnitude of the blood echo. As a result, CFPD is not a robust approach to study gradation of blood signal energy, which depicts the fractional moving blood volume. We propose the application of mutual intensity, rather than normalized coherence, to retain the clutter suppression capability inherent in coherence beamforming, while preserving the underlying signal energy. Feasibility of this approach was shown via Field II simulations, phantoms, and in vivo human liver data. In addition, we derive an adaptive statistical threshold for the suppression of residual noise signals. Overall, this beamformer design shows promise as an alternative technique to depict flow volume gradation in cluttered imaging environments.
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