Guided MRI Reconstruction via Schr\"odinger Bridge
Yue Wang, Yuanbiao Yang, Zhuo-xu Cui, Tian Zhou, Bingsheng Huang, Hairong Zheng, Dong Liang, Yanjie Zhu

TL;DR
This paper introduces a novel MRI reconstruction method using Schr"odinger Bridge that explicitly models structural correspondence between contrasts, significantly improving reconstruction quality from undersampled data.
Contribution
It proposes $ ext{I}^2$SB-Inversion, a multi-contrast guided MRI reconstruction framework based on Schr"odinger Bridge with an inversion strategy for misalignment correction.
Findings
Achieves up to 14.4x acceleration in MRI reconstruction.
Outperforms existing methods in quantitative evaluations.
Effectively mitigates artifacts and improves accuracy.
Abstract
Magnetic Resonance Imaging (MRI) is an inherently multi-contrast modality, where cross-contrast priors can be exploited to improve image reconstruction from undersampled data. Recently, diffusion models have shown remarkable performance in MRI reconstruction. However, they still struggle to effectively utilize such priors, mainly because existing methods rely on feature-level fusion in image or latent spaces, which lacks explicit structural correspondence and thus leads to suboptimal performance. To address this issue, we propose SB-Inversion, a multi-contrast guided reconstruction framework based on the Schr\"odinger Bridge (SB). The proposed method performs pixel-wise translation between paired contrasts, providing explicit structural constraints between the guidance and target images. Furthermore, an Inversion strategy is introduced to correct inter-modality…
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Taxonomy
TopicsAdvanced MRI Techniques and Applications · Atomic and Subatomic Physics Research · Advanced X-ray Imaging Techniques
MethodsDiffusion
