Machine Learning the Right Heart: Leveraging CMR for RV Volume Quantification From 3D Echocardiography

Right ventricular (RV) volume indices are important prognostic markers in several cardiac diseases. While cardiac magnetic resonance (CMR) imaging remains the gold-standard for volume quantification, echocardiography is more accessible. Unlike two-dimensional echocardiography (2DE), three-dimensional echocardiography (3DE) enables volume quantification without geometric assumptions. However, manual RV segmentation from 3DE is slow and hindered by speckle noise and poor spatial resolution. Machine learning can be utilised to overcome these challenges for efficient and accurate 3DE RV assessment.