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Related Experiment Video

Updated: May 14, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
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Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

Flow quantification with nakagami parametric imaging for suppressing contrast microbubbles attenuation.

Xiaolin Gu1, Min Wei, Yujin Zong

  • 1The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi' an Jiaotong University, Xi' an, China.

Ultrasound in Medicine & Biology
|February 7, 2013
PubMed
Summary
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Nakagami parametric imaging (NPI) overcomes contrast microbubble attenuation in ultrasound flow quantification. This method accurately estimates flow velocity and volumetric flow rate, even in attenuated regions, outperforming conventional techniques.

Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Biomedical Engineering

Background:

  • Contrast-enhanced ultrasound (CEUS) is crucial for flow quantification.
  • Microbubble attenuation in CEUS limits accuracy.
  • Novel methods are needed to address attenuation artifacts.

Purpose of the Study:

  • To evaluate Nakagami parametric imaging (NPI) for flow quantification.
  • To assess NPI's performance in the presence of contrast microbubble attenuation.
  • To compare NPI with conventional ultrasound imaging for flow measurements.

Main Methods:

  • Implementation of NPI based on the m-parameter to suppress attenuation.
  • Estimation of flow velocity (FV) and volumetric flow rate (VFR) using burst depletion kinetic model and time m-parameter curves (TMCs).

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Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

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Last Updated: May 14, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
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Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release
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Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

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  • In-vivo imaging of a flow phantom with varying flow rates (10-30 mL/min) and microbubble concentrations.

    • Main Results:

    • Optimal NPI sliding window size determined as 4x4 mm(2).
    • Strong correlation between NPI-derived and actual FV in both unattenuated (R(2)=0.97) and attenuated (R(2)=0.92) regions.
    • High correlation (R(2)=0.98) between NPI-derived and actual VFR across the phantom.

    Conclusions:

    • NPI effectively suppresses contrast microbubble attenuation in ultrasound flow quantification.
    • NPI provides accurate FV and VFR estimations, outperforming conventional intensity-dependent ultrasound.
    • NPI offers a promising advancement for reliable ultrasound-based hemodynamic assessment.