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Enhancing flow-mediated dilation analysis by optimizing an open-source software with automated edge detection.

Kseniya S Masterova1,2, Jiefei Wang3, Courtney Mack2

  • 1Graduate School of Biomedical Sciences, University of Texas Medical Branch, Galveston, Texas, United States.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|May 2, 2024
PubMed
Summary
This summary is machine-generated.

This study enhanced open-source software for flow-mediated dilation (FMD) analysis, improving its accuracy and reliability for assessing endothelial function. The modified software offers a more precise and comprehensive tool for vascular health research.

Keywords:
arterial diameteredge detectionflow-mediated dilationopen-sourcereliability

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Area of Science:

  • Cardiovascular Research
  • Biomedical Engineering
  • Medical Imaging Analysis

Background:

  • Flow-mediated dilation (FMD) is a key indicator of endothelial function and vascular health.
  • Automated software enhances the speed and accuracy of FMD analysis.
  • Open-source software provides a cost-effective and customizable alternative to commercial options.

Purpose of the Study:

  • To compare the repeatability and reliability of modified open-source software (FloWave.us) against its original version and manual measurements for FMD analysis.
  • To evaluate the software's performance using duplex ultrasound imaging data from the popliteal artery in older adults.

Main Methods:

  • Modifications were introduced to the open-source FloWave.us software to improve FMD analysis capabilities, including enhanced edge detection and noise reduction.
  • Duplex ultrasound imaging data from the popliteal artery were analyzed using the original software, modified software, and manual measurements.
  • Repeatability and reliability were assessed using intraclass correlation coefficients (ICCs) for intraobserver and interobserver variability.

Main Results:

  • The modified FloWave.us software demonstrated improved reliability, with higher intraobserver ICCs for baseline diameter, peak diameter, and percent FMD compared to the original software.
  • Interobserver ICC for percent FMD was higher for the modified software (0.723) than for manual measurements (0.593).
  • The modified method analyzed significantly more video frames (97.7%) compared to the original software (17.9%), indicating more comprehensive analysis.

Conclusions:

  • The modified open-source FloWave.us software is a robust and reliable tool for FMD analysis, offering improved precision over the original version.
  • Open-source software, particularly when enhanced, presents a viable and effective option for FMD analysis in research settings.
  • These improvements enhance the utility of open-source tools for objective vascular health assessments.