United Wiener postfilter for plane wave compounding ultrasound imaging
Yanxing Qi1, Yinmeng Wang1, Yuanyuan Wang2
1Department of Electronic Engineering, Fudan University, Shanghai 200433, China.
Ultrasonics
|February 3, 2021
Summary
This study introduces a novel Wiener postfilter for plane wave compounding (PWC) ultrafast ultrasound imaging. The new method improves image resolution and contrast while reducing artifacts, enhancing overall imaging quality.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Signal Processing
Background:
- Plane wave compounding (PWC) is crucial for ultrafast ultrasound imaging.
- Existing beamforming methods like coherence factor (CF) and Wiener postfilter have limitations, including over-suppression and artifacts.
- Conventional methods do not fully leverage spatial coherence in PWC, impacting performance and increasing computation.
Purpose of the Study:
- To propose a united Wiener postfilter specifically designed for PWC.
- To enhance the imaging quality of PWC by improving resolution and contrast.
- To address the over-suppression drawbacks of traditional CF methods.
Main Methods:
- Developed a novel Wiener postfilter that estimates signal and noise power using echo signal matrices.
- Integrated theoretical relationships between CF and Wiener filtering.
- Evaluated performance through simulations, phantom studies, and in vivo experiments, comparing against DAS, CF, GCF, and scaled Wiener beamformers.
Main Results:
- The proposed method demonstrated superior resolution and contrast compared to DAS and conventional Wiener beamformers.
- Achieved significant improvements in contrast ratio (26.7% sim, 28.7% phantom) and contrast-to-noise ratio (25.2% sim, 32.4% phantom).
- Effectively mitigated the over-suppression issue associated with the CF method and showed good performance in speckle signal-to-noise ratio and generalized contrast-to-noise ratio.
Conclusions:
- The developed united Wiener postfilter is effective for PWC ultrafast ultrasound imaging.
- The method enhances image resolution, contrast, and signal-to-noise ratios.
- It offers a significant improvement over existing beamforming techniques for PWC.
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