An effective image measurement in brachial flow-mediated dilation response analysis

Area of Science:

• Cardiovascular Imaging and Diagnostics
• Biomedical Engineering
• Medical Image Analysis

Background:

• Endothelial dysfunction is a key factor in cardiovascular diseases like hypertension and diabetes.
• Flow-mediated dilation (FMD) assessed via ultrasound is crucial for evaluating endothelial function.
• Current manual FMD measurement methods are labor-intensive and prone to variability.

Purpose of the Study:

• To develop and validate an automated image analysis technique for quantifying brachial artery FMD.
• To provide a non-invasive, objective method for assessing endothelial function.
• To enhance early diagnosis and management of cardiovascular diseases.

Main Methods:

• Utilizing B-mode ultrasound to capture brachial artery images at 10 frames per second.
• Implementing Hough Transform for vessel center detection and edge-preserving filters for noise reduction.
• Applying Laplacian of Gaussian for precise edge point detection to measure brachial artery radius changes.

Main Results:

• The developed image analysis method accurately computes brachial cardiovascular radius changes.
• Automated FMD calculation enables objective assessment of endothelial function.
• This approach offers a non-invasive alternative to manual FMD measurements.

Conclusions:

• Automated ultrasound image analysis provides a reliable method for FMD assessment.
• This technique can significantly aid in the early detection of endothelial dysfunction and cardiovascular risks.
• The developed system offers a scalable and efficient tool for clinical cardiovascular diagnostics.