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

A straightforward algorithm for the quantification of power Doppler signals.

Woo Sun Jun1, Kyoung Ho Lee, Kyobum Koo

  • 1Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, Clinical Research Institute, Seoul National University Hospital, Korea.

Investigative Radiology
|May 22, 2002
PubMed
Summary

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

Additional Dose Reduction Potential of Vendor-Agnostic Deep Learning Model: A Phantom Study.

Journal of the Korean Society of Radiology·2026
Same author

Oceanic determinants of microplastic bioaccumulation in fauna of deep-sea hydrothermal vents: Comparative study of the southwestern Pacific and Indian Oceans.

Water research·2026
Same author

Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective Study.

Korean journal of radiology·2026
Same author

Image quality improvement of liver ultrasound using unsupervised deep learning.

PloS one·2026
Same author

Nonreciprocal scattering and implications for thermal emission control on a mid-infrared spatiotemporally modulated metasurface.

Nature communications·2026
Same author

Comparative and experimental analyses of meiofaunal community responses to submerged marine debris in Ulleung Island, Korea.

Marine pollution bulletin·2026

A new algorithm objectively quantifies power Doppler signals using computer analysis. This method provides reliable measurements for studies on vascularity and blood flow.

Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Image Analysis

Background:

  • Power Doppler ultrasound is crucial for assessing vascularity and blood flow.
  • Objective quantification of power Doppler signals is needed for accurate analysis.
  • Existing methods may lack simplicity or require complex statistical analysis.

Purpose of the Study:

  • To present a simple algorithm for quantifying power Doppler signals.
  • To enable objective assessment using computer-based statistical image analysis.
  • To develop a practical tool for vascularity and blood flow studies.

Main Methods:

  • Developed personal computer-based software for image analysis.
  • Separated color pixels (power Doppler signals) from gray pixels (background).

Related Experiment Videos

  • Utilized adjustable thresholds (Difference and Intensity) for accurate segmentation.
  • Calculated Power Values (PV) and generated histograms.
  • Main Results:

    • Software allows real-time adjustment of segmentation thresholds.
    • Calculates key indexes: mean PV, peak PV, standard deviation of PV.
    • Quantifies percentage power Doppler area and integrated PV per unit area within regions of interest.

    Conclusions:

    • The developed algorithm objectively quantifies power Doppler signals.
    • The method is simple, practical, and suitable for comparative studies.
    • Applicable to longitudinal studies assessing vascularity and blood flow changes.