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Updated: Jun 4, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
Published on: March 6, 2019
Efficient ultrasonic phased array focused wave imaging using retrospective encoding and p-th root wavenumber-domain
Lida Yu1, Yuhua Zhang2, Yongfeng Song3
1School of Traffic and Transportation Engineering, Central South University, Changsha, 410075, Hunan Province, China.
This study introduces a new ultrasonic phased array imaging method, REpRWD, for non-destructive testing (NDT). REpRWD significantly improves computational efficiency and image quality for defect detection.
Area of Science:
- Materials Science & Engineering
- Physics
- Signal Processing
Background:
- Ultrasonic phased array imaging is crucial for industrial non-destructive testing (NDT).
- Conventional methods offer limited spatial resolution and high computational costs.
- Existing techniques like RE фокусис and TFM have limitations in efficiency and noise suppression.
Purpose of the Study:
- To develop an efficient and high-quality imaging approach for ultrasonic phased array NDT.
- To overcome the limitations of conventional focused wave imaging and TFM.
- To enhance computational efficiency and image quality in NDT applications.
Main Methods:
- Proposed a novel framework termed retrospective encoding and pth root wavenumber-domain reconstruction (REpRWD).
- Utilized RE фокусис to recover localized full matrix capture (FMC) datasets from focused transmissions.
- Introduced a nonlinear pth root wavenumber-domain (pRWD) algorithm for image reconstruction.
Main Results:
- REpRWD demonstrated substantially improved computational efficiency compared to existing methods.
- The performance advantage of REpRWD increases with higher reconstruction pixel counts.
- Achieved superior image quality, with improved accuracy in defect localization and characterization.
Conclusions:
- REpRWD offers a practical and powerful imaging technique for ultrasonic phased array NDT.
- The method enhances signal-to-noise ratio while maintaining low computational complexity.
- This approach provides a new pathway for high-quality ultrafast phased array imaging.
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