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Abstract #4436

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

Ting Zhao1,2, Zhuoxu Cui1, Sen Jia1, Qingyong Zhu1, Congcong Liu1, Yihang Zhou1, Yanjie Zhu1, Dong Liang1, and Haifeng Wang1
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

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.

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Keywords