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

arXiv: https://arxiv.org/abs/2408.08883 · HTML: https://mlsanity.com/paper/2408.08883/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models.
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 5 Aug 2024.

## Placed in

- Diffusion models / [Medical imaging and segmentation](https://mlsanity.com/diffusion/medical-imaging-and-segmentation/)

## Built on by (most cited first, 1 of 1)

- [K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging](https://mlsanity.com/paper/2501.03293/) (2025)

## Abstract (arXiv)

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