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Computer-assisted edge detection in two-dimensional echocardiography: comparison with anatomic data.

S M Collins, D J Skorton, E A Geiser

    The American Journal of Cardiology
    |May 1, 1984
    PubMed
    Summary
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    Computer algorithms accurately identified cardiac borders on echocardiograms, matching human observer performance. These methods show promise for automated analysis of echocardiographic images.

    Area of Science:

    • Cardiovascular Imaging
    • Medical Image Analysis
    • Echocardiography

    Background:

    • Accurate identification of cardiac borders is crucial for echocardiographic analysis.
    • Manual border detection can be time-consuming and subject to inter-observer variability.
    • Automated methods offer potential for improved efficiency and consistency.

    Purpose of the Study:

    • To evaluate computer-based edge detection methods for identifying endocardial and epicardial borders on 2D echocardiograms.
    • To compare the accuracy of computer-derived borders with observer-derived borders and anatomic measurements.
    • To assess the potential utility of computer-assisted border detection in automated echocardiographic analysis.

    Main Methods:

    • Four computer-based edge detection algorithms and one observer method were applied to 2D echocardiograms of excised hearts.

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  • Anatomic borders were measured from photographs of heart slices for ground truth comparison.
  • Accuracy was determined by comparing echocardiographic-derived segmental cavity areas and wall thickness with anatomic data.

    • Main Results:

    • Both computer and observer methods accurately identified endocardial borders, with high correlation for segmental cavity areas (r = 0.90-0.92).
    • Epicardial border identification showed lower correlation for regional wall thickness (r = 0.74-0.80), indicating better endocardial accuracy.
    • Computer-assisted methods demonstrated accuracy comparable to a trained observer for both endocardial and epicardial border identification.

    Conclusions:

    • Computer-based edge detection methods effectively identify cardiac endocardial and epicardial borders on echocardiograms.
    • These automated techniques achieve accuracy similar to trained human observers.
    • Computer-assisted border detection holds significant potential for the automated analysis of clinical echocardiograms.