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[Cardiac Synchronization Function Estimation Based on ASM Level Set Segmentation Method].

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    This study introduces an improved image analysis method to quantitatively assess cardiac mechanical synchronism using ultrasound. The technique enhances segmentation accuracy for evaluating heart chamber function and synchronization.

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    Area of Science:

    • Medical Imaging
    • Cardiovascular Physiology
    • Image Analysis

    Background:

    • Accurate quantitative methods for assessing cardiac mechanical synchronism are lacking.
    • Quantitative determination of cardiac synchronization using medical images holds significant clinical value.

    Purpose of the Study:

    • To develop and validate an image analysis technique for quantitative assessment of cardiac mechanical synchronism.
    • To improve the accuracy of cardiac chamber segmentation in ultrasound images.
    • To evaluate right and left ventricular systolic functions and overall heart chamber synchronization.

    Main Methods:

    • Utilized whole heart ultrasound image sequences.
    • Segmented left and right atria and ventricles in each frame.
    • Employed an improved level set method incorporating Active Shape Model (ASM) information for enhanced contour extraction.
    • Extracted area change curves for quantifying synchronization.

    Main Results:

    • The improved segmentation method demonstrated enhanced accuracy compared to traditional approaches.
    • Ventricular segmentation enabled evaluation of right and left ventricular systolic functions based on area changes.
    • Cardiac synchronization across all four chambers was estimated using area and volume changes.

    Conclusions:

    • The developed method provides a more accurate approach for quantitative assessment of cardiac mechanical synchronism.
    • Improved segmentation accuracy facilitates better evaluation of cardiac function and synchronization.
    • This technique offers potential for improved clinical diagnosis and management of cardiac conditions.