Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR

Understand

Patient-specific 3D printing of congenital heart anatomy demands an accurate segmentation of the thin tissue interfaces which characterise these diagnoses.

• Even when a label set has a high spatial overlap with the ground truth, inaccurate delineation of these interfaces can result in topological errors.
• These compromise the clinical utility of such models due to the anomalous appearance of defects.
• CNNs have achieved state-of-the-art performance in segmentation tasks.