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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
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Related Experiment Video

Updated: Jul 25, 2025

Blood Flow Imaging with Ultrafast Doppler
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Real-time ultrasound phase imaging.

Maxime Bilodeau1, Félix-Antoine Amyot2, Patrice Masson3

  • 1GAUS, Department of Mechanical Engineering, Sherbrooke, J1K 2R1, QC, Canada.

Ultrasonics
|June 30, 2023
PubMed
Summary
This summary is machine-generated.

The new Correlation-Based Phase Imaging (CBPI) method estimates reflection coefficient phase for improved tissue segmentation. This technique successfully identifies elasticity variations, even with low echogenicity, outperforming standard methods.

Keywords:
Correlation-Based ImagingPhase coherencePhase imagingUltrasound imaging

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Area of Science:

  • Ultrasound imaging
  • Medical physics
  • Biomedical engineering

Background:

  • Correlation-Based (CB) imaging offers high spatial resolution but demands significant computational power.
  • Estimating phase information is crucial for advanced ultrasound applications like tissue characterization.

Purpose of the Study:

  • To introduce and validate the Correlation-Based Phase Imaging (CBPI) method for enhanced ultrasound analysis.
  • To demonstrate CBPI's capability in segmenting and identifying tissue elasticity variations.

Main Methods:

  • Numerical simulations with point-like scatterers using a Verasonics Simulator.
  • Experimental validation using in vitro datasets and ex vivo chicken breast samples.
  • Real-time processing architecture utilizing a Graphics Processing Unit (GPU) for high frame rates.

Main Results:

  • CBPI successfully retrieves phase information from both hyperechoic and weak reflectors, including elasticity targets.
  • CBPI distinguishes regions with different elasticities but similar low echogenicity, surpassing standard B-mode and SAFT.
  • Accurate phase reconstruction of needle interfaces in ex vivo chicken breast demonstrates CBPI's efficacy on specular reflectors.

Conclusions:

  • CBPI provides a novel approach to extract valuable phase information from ultrasound data.
  • The method enables enhanced tissue segmentation and characterization, particularly for elasticity variations.
  • Real-time implementation with GPU acceleration achieves practical frame rates for clinical applications.