Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automated volumetric flow quantification using angle-corrected color Doppler image.

Beomjin Kim1, Jeffrey S Soble, Thomas D Stamos

  • 1Department of Computer Science, Indiana University-Purdue University, Fort Wayne, 46805, USA. kimb@ipfw.edu

Echocardiography (Mount Kisco, N.Y.)
|June 24, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reply to "Correspondence: Androgen receptor mRNA in glioblastoma: a reliable marker of tumor burden or a statistical artefact?"

Molecular biology reports·2026
Same author

Disentangling direct and indirect genetic pathways to neurodevelopmental risk: brain structure and behavior in a population-based parent-offspring trio study.

Journal of child psychology and psychiatry, and allied disciplines·2026
Same author

Paediatric DNA methylation profile scores: a systematic review and open-source atlas.

EBioMedicine·2026
Same author

PASTA-4-PHT: a pipeline for automated security and technical audits for the personal health train.

BMC medical informatics and decision making·2026
Same author

Direct and indirect genetic effects of birthweight predisposition on child DNA methylation at birth.

Epigenetics·2026
Same author

Timing matters in population epigenomics.

Epigenomics·2026

This study introduces an automated method for accurate volumetric blood flow measurement using angle-corrected Doppler velocity. The technique improves accuracy by correcting velocity underestimation and enhancing vessel identification for reliable blood flow analysis.

Area of Science:

  • Medical Imaging
  • Cardiovascular Physiology
  • Ultrasound Technology

Background:

  • Accurate volumetric blood flow measurement is crucial for cardiovascular assessment.
  • Traditional Doppler techniques can suffer from angle-dependent velocity underestimation and inaccuracies in vessel identification.
  • Automated methods are needed to improve the efficiency and reproducibility of blood flow quantification.

Purpose of the Study:

  • To develop and validate a fully automated method for measuring volumetric blood flow using color Doppler imaging.
  • To improve measurement accuracy by incorporating angle correction for blood velocity.
  • To enhance the accuracy of conduit identification for volumetric flow calculations.

Main Methods:

  • Developed an automated algorithm to compute blood flow vectors from color Doppler images.

Related Experiment Videos

  • Implemented angle correction by measuring the incidence angle between the ultrasound beam and blood flow direction.
  • Enhanced conduit identification to improve volumetric measurement reliability.
  • Validated the method on 21 healthy subjects and 10 patients, measuring flow in the left ventricular outflow tract.

    • Main Results:

    • The automated method successfully measured volumetric blood flow with angle-corrected velocity.
    • The algorithm improved measurement accuracy by correcting underestimated blood velocity.
    • Conduit identification was enhanced, contributing to more reliable volumetric measurements.
    • Comparison with traditional pulsed-wave Doppler showed a mean stroke volume difference of -0.45 +/- 11.7.

    Conclusions:

    • The developed automated method is a viable approach for determining blood flow volume.
    • Angle correction significantly improves the accuracy of blood velocity measurements in Doppler imaging.
    • This automated technique offers a reliable and efficient alternative for volumetric blood flow quantification.