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Related Experiment Video

Updated: Jun 27, 2026

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
07:53

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Microvascular flow estimation by microbubble-assisted Nakagami imaging.

Po-Hsiang Tsui1, Chih-Kuang Yeh, Chien-Cheng Chang

  • 1Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan.

Ultrasound in Medicine & Biology
|December 23, 2008
PubMed
Summary
This summary is machine-generated.

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A new method using the time-Nakagami-parameter curve (TNC) enhances microvascular blood flow estimation. This technique offers greater tolerance to clutter than the traditional time-intensity curve (TIC), improving flow velocity measurements.

Area of Science:

  • Medical imaging
  • Ultrasound technology
  • Hemodynamics

Background:

  • Microbubble destruction and replenishment are used to estimate microcirculation blood flow.
  • The time-intensity curve (TIC) quantifies flow velocity based on microbubble replenishment in the region-of-interest (ROI).

Purpose of the Study:

  • To introduce and evaluate a novel approach, the time-Nakagami-parameter curve (TNC), for quantifying microvascular flow velocity.
  • To compare the efficacy of TNC with the conventional TIC in flow measurement.

Main Methods:

  • The Nakagami parameter was estimated from the signal envelope to reflect backscattered statistics.
  • Phantom and in vivo animal experiments were conducted to assess TNC feasibility.
  • Rates of increase for TIC (beta(I)) and TNC (beta(N)) were quantified using monoexponential fitting.

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

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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Related Experiment Videos

Last Updated: Jun 27, 2026

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
07:53

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

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

Published on: September 5, 2020

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Main Results:

  • The TNC-based parameter beta(N) demonstrated similar performance to beta(I) in quantifying flow velocity.
  • TNC exhibited superior tolerance to clutter effects compared to TIC.
  • beta(N) effectively differentiated various flow velocities, even in the presence of nonperfused areas.

Conclusions:

  • The TNC-based technique is a viable method for estimating microvascular flow velocity.
  • TNC serves as a valuable complementary tool to the conventional TIC, enhancing microcirculation blood flow measurement accuracy and robustness.