Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis

Understand

Cross-modality magnetic resonance (MR) image synthesis can be used to generate missing modalities from given ones.

• Existing (supervised learning) methods often require a large number of paired multi-modal data to train an effective synthesis model.
• However, it is often challenging to obtain sufficient paired data for supervised training.
• In reality, we often have a small number of paired data while a large number of unpaired data.