May 10, 2024, 4:42 a.m. | Yue Cai, Yu Luo, Jie Ling, Shun Yao

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.05564v1 Announce Type: cross
Abstract: Magnetic Resonance Imaging (MRI) is a widely used imaging technique, however it has the limitation of long scanning time. Though previous model-based and learning-based MRI reconstruction methods have shown promising performance, most of them have not fully utilized the edge prior of MR images, and there is still much room for improvement. In this paper, we build a joint edge optimization model that not only incorporates individual regularizers specific to both the MR image and …

abstract arxiv cs.cv cs.lg edge eess.iv however images imaging mri network optimization performance prior the edge them type

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