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Related Experiment Videos

Digital computer analysis of M-scan echocardiograms

A L Pai, N S Cahill, R J Dubroff

    Journal of Clinical Ultrasound : JCU
    |June 1, 1976
    PubMed
    Summary

    This study introduces an automated method for analyzing M-mode echocardiograms, significantly reducing the time and effort required for cardiac diagnosis. This innovation streamlines the calculation of key cardiac parameters from echocardiographic data.

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    Area of Science:

    • Cardiology
    • Medical Imaging
    • Biomedical Engineering

    Background:

    • Echocardiography is a vital noninvasive tool for cardiac diagnosis.
    • Conventional analysis of echocardiographic data is manual, time-consuming, and tedious.
    • Automated analysis can improve efficiency in clinical and research settings.

    Purpose of the Study:

    • To describe a method for automating the analysis of M-mode echocardiograms.
    • To facilitate routine clinical work and specialized ultrasonic cardiac research.
    • To provide immediate access to computed cardiac parameters.

    Main Methods:

    • Utilized a GRAF/PEN digitizer interfaced with a PDP-11 minicomputer.
    • Inputted key points from M-mode echocardiogram hard copies (ventricular/mitral interfaces, R-R intervals, calibration points).

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  • Developed algorithms to compute various cardiac and mitral valve parameters.

    • Main Results:

    • Automated determination of left ventricular (LV) diameters, volumes, mass, ejection fraction, stroke volume, and cardiac output.
    • Calculation of septal and posterior wall dynamics.
    • Quantification of mitral valve (MV) parameters including opening/closing velocities, excursions, and leaflet areas.
    • Immediate availability of computed results via printer for patient records.

    Conclusions:

    • Automated analysis of M-mode echocardiograms offers a significant improvement over manual methods.
    • The described system enhances efficiency for both routine clinical echocardiography and research.
    • This automated approach provides comprehensive cardiac parameter data for improved patient management and research insights.