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

TL;DR

This paper introduces a diffusion model-based method for optimizing the reconstruction of simultaneous multi-slice MRI, reducing scan time while maintaining image quality.

Contribution

It proposes a novel diffusion model approach integrating slice-GRAPPA and SPIRiT for improved SMS MRI reconstruction.

Findings

Enhanced image quality in SMS MRI reconstruction

Reduced scanning time without quality loss

Effective utilization of diffusion models for MRI

Abstract

Diffusion model has been successfully 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, can significantly reduce scanning time, but further optimization of reconstruction results is still possible. 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. With the utilization of diffusion model, we achieved better reconstruction results.The application of diffusion model can further reduce the scanning time of MRI without compromising image quality, making it more advantageous for clinical application