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Urodynamic Studies: Uroflowmetry01:19

Urodynamic Studies: Uroflowmetry

Uroflowmetry is a non-invasive urodynamic test designed to measure various aspects of urination, including volume, flow rate, and the time to void. This test is crucial for diagnosing and assessing conditions such as bladder outlet obstruction, bladder dysfunction, incomplete bladder emptying, incontinence, and urinary tract blockages caused by benign prostatic hyperplasia (BPH) and urethral strictures.Pre-Test Instructions:Before a uroflowmetry test, patients are typically advised to drink...
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Plane Potential Flows01:23

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Related Experiment Video

Updated: May 31, 2026

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

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Published on: April 23, 2018

Quantitative flow visualization: toward a comprehensive flow diagnostic tool.

Mory Gharib1, Francisco Pereira, Dana Dabiri

  • 1Graduate Aeronautical Laboratory, California Institute of Technology, Pasadena, California.

Integrative and Comparative Biology
|June 18, 2011
PubMed
Summary

This study extends Particle Image Velocimetry (PIV) from 2D to 3D. This novel technique enables comprehensive 3D flow mapping for engineering and biological applications.

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Area of Science:

  • Fluid dynamics
  • Optical measurement techniques
  • Image processing

Background:

  • Quantitative flow visualization relies on digital image processing.
  • Particle Image Velocimetry (PIV) is a standard for whole-field velocity measurement.
  • Current PIV techniques are primarily planar.

Purpose of the Study:

  • To develop a novel 3D extension of the PIV technique.
  • To enable full three-dimensional volume mapping of fluid flows.
  • To broaden the applicability of PIV in engineering and biological sciences.

Main Methods:

  • Leveraging digital image processing advancements.
  • Extending the established Particle Image Velocimetry (PIV) methodology.
  • Developing algorithms for volumetric data reconstruction from planar measurements.

Main Results:

  • Successful extension of PIV from planar to volumetric measurements.
  • Demonstration of a novel approach for 3D flow mapping.
  • Potential for enhanced data acquisition in complex flow fields.

Conclusions:

  • The developed 3D PIV technique offers a significant advancement in flow visualization.
  • This method provides a powerful tool for quantitative analysis in diverse scientific fields.
  • Future applications include detailed studies of complex fluid behaviors.