Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

The article introduces the Probabilistic Brownian Bridge Diffusion Model (Prob-BBDM), a novel approach for synthesizing MRI sequences from 2D axial slices using a variational encoder-guided diffusion mechanism. Evaluated on the BraTS 2021 dataset, Prob-BBDM achieves up to 88.46% SSIM and 26.09 dB PSNR with only 4 diffusion steps, demonstrating computational efficiency and high-quality synthesis. This model's ability to maintain diagnostic information while enhancing multi-modal image analysis could significantly improve clinical workflows in medical imaging.