June 6, 2024, 4:49 a.m. | Wanyu Bian

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02626v1 Announce Type: cross
Abstract: Magnetic resonance imaging (MRI) is renowned for its exceptional soft tissue contrast and high spatial resolution, making it a pivotal tool in medical imaging. The integration of deep learning algorithms offers significant potential for optimizing MRI reconstruction processes. Despite the growing body of research in this area, a comprehensive survey of optimization-based deep learning models tailored for MRI reconstruction has yet to be conducted. This review addresses this gap by presenting a thorough examination of …

abstract algorithms arxiv contrast cs.cv deep learning deep learning algorithms eess.iv imaging integration making math.oc medical medical imaging mri optimization overview pivotal potential processes resolution spatial tool type

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