Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is central to breast cancer imaging, but gadolinium administration increases scan burden and motivates contrast-reduced alternatives, including synthetic contrast generation. We propose a latent bridge matching (LBM) framework for synthesizing peak-enhanced breast DCE-MRI from pre-contrast images in the MAMA-SYNTH challenge setting. Instead of starting from Gaussian noise as in conventional latent diffusion models (LDMs), the proposed model learns a conditional bridge between paired pre-contrast and peak-enhanced VAE latents. A latent UNet predicts the remaining correction from intermediate bridge states to the peak-enhanced l...
| Authors | Sina Amirrajab, Zohaib Salahuddin, Henry C Woodruff et al. |
|---|---|
| Primary category | eess.IV |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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