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

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.