Self-supervised multi-contrast MRI reconstruction via mask-guided frequency-domain fusion.
BACKGROUND Multi-contrast magnetic resonance imaging (MC-MRI) enables detailed tissue characterization by acquiring multiple contrast-weighted images from the same anatomical region. Redundancy across contrasts can improve reconstruction from under-sampled data. However, conventional deep learning approaches rely on fu...