Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction

• URL: http://arxiv.org/abs/2507.17764v1
• Date: Wed, 09 Jul 2025 12:30:06 GMT
• Title: Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction
• Authors: Xin Xie, Yu Guan, Zhuoxu Cui, Dong Liang, Qiegen Liu,
• Abstract summary: DFAM consistently outperforms conventional reconstruction algorithms and recent learning-based approaches.<n>These findings highlight the potential of DFAM as a promising solution to advance low-field MRI reconstruction.
• Score: 15.256354909489703
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: By integrating the generative strengths of diffusion models with the representation capabilities of frequency-domain attention, DFAM effectively enhances reconstruction performance under low-SNR condi-tions. Experimental results demonstrate that DFAM consistently outperforms both conventional reconstruction algorithms and recent learning-based approaches. These findings highlight the potential of DFAM as a promising solution to advance low-field MRI reconstruction, particularly in resource-constrained or underdeveloped clinical settings.

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