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Related Experiment Videos

Strain imaging with intravascular ultrasound array scanners: validation with phantom experiments.

C Perrey1, G Braeker, W Bojara

  • 1Institute of High Frequency Engineering, Ruhr University Bochum, Germany.

Biomedizinische Technik. Biomedical Engineering
|July 4, 2003
PubMed
Summary

This study shows that strain imaging can identify different tissue stiffnesses in coronary plaques, helping differentiate vulnerable from calcified plaques using intravascular ultrasound (IVUS) data.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Cardiovascular Research

Background:

  • Intravascular Ultrasound (IVUS) B-mode imaging has limitations in characterizing coronary plaque vulnerability.
  • Differentiating soft, vulnerable plaques from hard, calcified plaques is crucial in interventional cardiology.
  • Strain imaging offers a novel approach to assess tissue stiffness for improved plaque characterization.

Purpose of the Study:

  • To evaluate a time-efficient strain imaging algorithm for intravascular ultrasound (IVUS) data.
  • To assess the feasibility of differentiating plaque stiffness using IVUS.
  • To identify vulnerable (soft) versus calcified (hard) coronary plaques.

Main Methods:

  • Utilized custom hardware to acquire unfocused radiofrequency (rf) data from IVUS array transducers.

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  • Reconstructed rf lines offline using synthetic aperture focusing techniques.
  • Employed vessel-mimicking phantoms (agar, PVA) and a water tank setup to simulate intraluminal pressure for strain imaging.

    • Main Results:

    • Successfully calculated strain images from reconstructed A-lines derived from unfocused IVUS rf raw data.
    • Qualitatively identified regions of varying stiffness through local strain variations.
    • Demonstrated imaging of strains up to 2% without significant decorrelation, validating the algorithm's efficacy.

    Conclusions:

    • Strain imaging is applicable to IVUS data for tissue characterization.
    • The developed algorithm can differentiate between plaque types based on stiffness.
    • This technique holds potential for improved detection of vulnerable coronary plaques.