首页|ShanghaiTech University Reports Findings in Artificial Intelligence (Stop moving: MR motion correction as an opportunity for artificial intelligence)
ShanghaiTech University Reports Findings in Artificial Intelligence (Stop moving: MR motion correction as an opportunity for artificial intelligence)
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New research on Artificial Intelligence is the subject of a report. According to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, "Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image quality. Various prospective and retrospective methods have been proposed for MRI motion correction, among which deep learning approaches have achieved state-of-the-art motion correction performance." Our news journalists obtained a quote from the research from ShanghaiTech University, "This survey paper aims to provide a comprehensive review of deep learning-based MRI motion correction methods. Neural networks used for motion artifacts reduction and motion estimation in the image domain or frequency domain are detailed. Furthermore, besides motion-corrected MRI reconstruction, how estimated motion is applied in other downstream tasks is briefly introduced, aiming to strengthen the interaction between different research areas." According to the news editors, the research concluded: "Finally, we identify current limitations and point out future directions of deep learning-based MRI motion correction." This research has been peer-reviewed.
ShanghaiPeople's Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning
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