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Related Experiment Videos

In vivo perfusion estimation using subharmonic contrast microbubble signals.

Flemming Forsberg1, Ji-Bin Liu, William T Shi

  • 1Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA 19107 USA. flemming.forsberg@jefferson.edu

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|December 24, 2005
PubMed
Summary

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Contrast-enhanced subharmonic imaging (SHI) accurately quantifies in vivo renal perfusion. This new method shows good agreement with traditional microvascular staining techniques, offering a promising tool for assessing blood flow.

Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Renal Physiology

Background:

  • Assessing tissue perfusion is crucial for diagnosing and managing various medical conditions.
  • Traditional perfusion quantification methods can be invasive or lack real-time capabilities.
  • Contrast-enhanced ultrasound (CEUS) offers a non-invasive approach to visualize and quantify blood flow.

Purpose of the Study:

  • To evaluate the efficacy of contrast-enhanced subharmonic imaging (SHI) for quantifying in vivo renal perfusion.
  • To compare SHI-derived perfusion estimates with a gold standard microvascular staining technique.

Main Methods:

  • Utilized a modified ultrasound scanner in gray scale SHI mode for in vivo measurements.
  • Administered intravenous contrast agent bolus injections to four dogs undergoing renal SHI.

Related Experiment Videos

  • Quantified perfusion using a microvascular staining technique with isotope-labeled microspheres in kidney sections.
  • Induced low perfusion states by ligating segmental renal arteries.
  • Acquired SHI time-intensity curves and calculated subharmonic fractional blood volumes for perfusion estimation.

    • Main Results:

    • In vivo gray scale SHI successfully visualized renal perfusion with minimal tissue signal interference.
    • SHI perfusion estimates showed significant correlation with microsphere results (r = 0.57, P < .0001).
    • Optimal SHI perfusion estimates were achieved in high perfusion states in the anterior kidney regions (r = 0.73, P = .0001) with a root mean square error of 2.4%.

    Conclusions:

    • Subharmonic perfusion estimates were successfully obtained in vivo.
    • The developed SHI method demonstrated reasonable to good agreement with established microvascular staining techniques for perfusion assessment.