Sub-DM: A Subspace Diffusion Model with Orthogonal Decomposition for Fast and High-Quality MRI Reconstruction

This paper introduces Sub-DM, a novel diffusion model-based approach for MRI reconstruction that leverages subspace learning and orthogonal decomposition to accelerate convergence and enhance image quality, particularly in high acceleration scenarios.