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作 者:Ya Wang Shihao Tang Jinyu Yang Bowen Peng Yajie Xu Xiaodong Yang
机构地区:[1]Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou 215163,China [2]School of Biomedical Engineering(Suzhou),Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei 230026,China
出 处:《Magnetic Resonance Letters》2024年第3期60-61,共2页磁共振快报(英文)
摘 要:Recently,a study on a 0.05 T,low-cost,low-power,and computing-driven shielding-free ultra-low-field(ULF)magnetic resonance imaging(MRI)scannerwas published.This work enhances the image quality of MRI and reduces the scanning time based on deep learning methods,which is of great significance to enhancing the popularization and availability of MRI[1](https://www.science.org/doi/abs/10.1126/science.adm7168).
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