Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic...

Area of Science:

• Cardiovascular Imaging
• Medical Image Analysis
• Biomedical Engineering

Background:

• Diastolic dysfunction is a complex condition affecting heart function.
• Morphological changes in the ventriculo-aortic system may be linked to diastolic dysfunction.
• Non-invasive imaging techniques are crucial for understanding cardiac geometry.

Purpose of the Study:

• To investigate if geometric descriptors of the left ventricle and aorta can differentiate between patients with diastolic dysfunction and healthy controls.
• To identify specific morphological parameters associated with diastolic dysfunction.
• To explore the potential of image-based morphometry in early detection of cardiac alterations.

Main Methods:

• Segmentation of the ventriculo-aortic region from 3D magnetic resonance images (20 participants, 10 per group).
• Quantification of geometric descriptors including orientation, curvature, torsion, aortic arch height/width, and cross-sectional area.
• Statistical analysis to compare parameters between patient and control groups.

Main Results:

• Significant differences observed in tilt angle (left ventricle/ascending aorta), descending aorta curvature and cross-sectional area between groups (P<0.05).
• Aortic volume (P=0.04) and aortic arch width (P=0.03) were significantly different between patients and controls.
• Morphometric variations correlate with hemodynamic differences, influencing blood flow patterns.

Conclusions:

• Image-based morphometry successfully differentiates subjects with diastolic dysfunction from controls based on ventriculo-aortic geometry.
• Identified geometric parameters may serve as early indicators of aortic alterations in diastolic dysfunction.
• This approach offers potential for early detection and prevention of advanced diastolic dysfunction.