Automatic quantification and 3D visualisation of edema in cardiac MRI

Area of Science:

• Cardiovascular Imaging
• Medical Image Analysis
• Cardiac MRI

Background:

• Assessing heart muscle viability post-myocardial infarction is crucial for treatment.
• Quantifying myocardial edema is key to distinguishing viable from necrotic tissue.
• Current methods may lack precision in edema quantification.

Purpose of the Study:

• To develop and validate an automated method for quantifying cardiac edema.
• To improve the accuracy of differentiating viable and non-viable myocardial tissue.
• To enhance clinical diagnosis through quantitative edema assessment.

Main Methods:

• Utilized a combination of morphological operations and statistical thresholding.
• Applied the method to real-world cardiac Magnetic Resonance Imaging (MRI) data.
• Compared automated segmentation results with manual segmentation.

Main Results:

• The automated method demonstrated comparable edema region delineation to manual segmentation.
• Achieved a high linear correlation coefficient (r=0.76) with manual segmentation.
• Showed a mean difference of approximately 9.95% in quantification.

Conclusions:

• The proposed automated method accurately quantifies cardiac edema.
• This technique aids in differentiating viable and necrotic myocardial tissue.
• Generated 3D visualization models enhance clinical diagnostic capabilities.