MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model

Motivation: Diffusion model has been applied to MRI reconstruction, including single and multi-coil acquisition of MRI data. Simultaneous multi-slice imaging (SMS), as a method for accelerating MR acquisition, significantly reduces scanning time, but further optimization of reconstruction results is still possible. Goal(s): In order to optimize the reconstruction of SMS, we proposed a method to use diffusion model based on slice-GRAPPA and SPIRiT method. Approach: Specifically, our method characterizes the prior distribution of SMS data by score matching and characterizes the k-space redundant prior between coils and slices based on self-consistency. Results: With the utilization of diffusion model, we achieved better reconstruction results. Impact: The application of diffusion model can further reduce the scanning time of MRI without compromising image quality, making it more advantageous for clinical application.