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Related Concept Videos

Blood Flow01:29

Blood Flow

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Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
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Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Rapidly Varying Flow01:24

Rapidly Varying Flow

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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
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Uniform Depth Channel Flow01:27

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Related Experiment Video

Updated: Sep 16, 2025

Blood Flow Imaging with Ultrafast Doppler
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Blood Flow Imaging with Ultrafast Doppler

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Blood-flow Volume Estimation by a 2-D Sparse Array.

Claudio Giangrossi1, Alessandro Ramalli1, Francesco Guidi1

  • 1Department of Information Engineering, University of Florence, Florence, Italy.

Ultrasound in Medicine & Biology
|July 8, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a streamlined ultrasound method for accurate blood-flow volume (BFV) measurement using a sparse array. The technique enables precise, real-time BFV assessment, crucial for cardiovascular health monitoring.

Keywords:
3-D imagingBi-plane imagingBlood-flow volumeColor flow mappingHigh frame rateSparse arraySpiral arrayULA-OP 256

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Area of Science:

  • Medical Ultrasound
  • Cardiovascular Imaging
  • Biomedical Engineering

Background:

  • Blood-flow volume (BFV) assessment is vital for diagnosing cardiovascular diseases.
  • Non-invasive ultrasound methods offer cost-effectiveness, real-time capabilities, and portability for BFV measurement.
  • Previous research utilized complex 1024-channel scanners for accurate off-line BFV estimation.

Purpose of the Study:

  • To propose and validate a streamlined ultrasound approach for BFV measurement.
  • To utilize a 256-channel research scanner with a 2D sparse spiral array for enhanced BFV assessment.
  • To enable accurate and precise real-time BFV measurements.

Main Methods:

  • Simultaneous longitudinal and transverse vessel scanning using interleaved transmission.
  • Real-time flow direction determination via longitudinal scans.
  • Cross-sectional area and velocity capture using high frame rate color flow mapping in transverse scans.

Main Results:

  • Accurate and precise BFV measurements were achieved in flow phantom experiments under steady and pulsatile conditions.
  • Mean percentage error and standard deviation were consistently below 9.4% and 2.8%, respectively.
  • Preliminary in vivo experiments yielded results consistent with existing literature.

Conclusions:

  • The sparse array-based ultrasound method enables accurate and precise BFV measurements in phantoms.
  • The proposed technique is suitable for real-time arterial BFV measurements.
  • This streamlined approach advances non-invasive cardiovascular assessment.