STFO-Diff: A State Feedback Optimization-Based Diffusion Framework for Multimodal Medical Image Fusion

Diffusion models demonstrate strong potential for improving image quality and preserving fine-grained details in medical image fusion. However, the existing diffusion-based fusion methods lack modality-specific feature estimation during the iterative denoising process, resulting in the gradual entanglement of features. We propose a state-feedback optimization-based diffusion (STFO-Diff) framework, which can extract the generative state and enable accurate feedback learning, thereby achieving fin