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Related Experiment Video

Updated: Jun 29, 2025

Troubleshooting FoCUS Image Acquisition: Patient Positioning, Transducer Manipulation, and Image Optimization
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Iterative Pulse-Echo Tomography for Ultrasonic Image Correction.

Yuchen Zengqiu1,2, Wentao Wu1, Ling Xiao1

  • 1Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
Summary

Iterative computed ultrasound tomography in echo mode (CUTE) improves ultrasound imaging quality by refining speed-of-sound estimates. This advanced method enhances accuracy and robustness over traditional single-pass techniques, leading to better image correction.

Keywords:
aberration correctionultrasound imagingultrasound tomography

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Acoustics

Background:

  • Acoustic aberration from uneven tissue speed-of-sound (SoS) degrades ultrasound image quality.
  • Local SoS estimation is crucial for mitigating aberration and improving imaging.
  • Computed ultrasound tomography in echo mode (CUTE) offers efficient SoS estimation using phase-shift data.

Purpose of the Study:

  • To introduce and validate an iterative CUTE approach for enhanced SoS estimation.
  • To address the limitations of traditional single-pass CUTE methods regarding accuracy and robustness.
  • To propose coherence factor (CF) as a superior metric for SoS estimate quality over RMSE.

Main Methods:

  • Developed an iterative CUTE algorithm for refining SoS estimates by correcting errors and noise.
  • Utilized coherence factor (CF) as a key performance indicator for SoS estimates.
  • Validated the iterative CUTE algorithm using both simulations and agar phantom experiments.

Main Results:

  • Iterative CUTE demonstrated superior performance compared to the single-pass CUTE method.
  • The average coherence factor (CF) for SoS estimates improved by up to 18.2% with iterative CUTE.
  • Imaging corrected using iterative CUTE-derived SoS estimates reduced the Array Performance Index (API) by up to 40% in phantom experiments.

Conclusions:

  • Iterative CUTE significantly enhances the accuracy and robustness of SoS estimation for ultrasound imaging correction.
  • Coherence factor (CF) is a more suitable metric than RMSE for evaluating SoS estimates in this context.
  • The proposed iterative CUTE method offers a practical and effective solution for improving ultrasound image quality affected by acoustic aberration.