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Updated: Feb 12, 2026

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对的7TMRI与基于深度学习的图像重建和动态并行传输的比较评估

Erik H Middlebrooks1, Justyna O Ekert2, Xiangzhi Zhou2

  • 1From the Department of Radiology (E.H.M., J.O.E., X.Z., S.T., V.N.P., E.M.W., J.V.M., V.G.), Department of Neurologic Surgery (E.H.M.), Mayo Clinic; Swiss Innovation Hub (E.H.M., T.Y., G.F.P.), Siemens Healthineers International AG; Department of Radiology (T.Y.), Lausanne University Hospital and University of Lausanne; LTS5 (T.Y.), Ecole Polytechnique Federale de Lausanne; MR Application Predevelopment (D.N., P.L.), Siemens Healthineers AG; Siemens Healthcare (J.H.), Erlangen. Middlebrooks.Erik@mayo.edu.

AJNR. American journal of neuroradiology
|February 10, 2026
PubMed
概括

使用动态并行传输和深度学习的增强7TMRI协议显著改善图像质量,并减少患者的扫描时间. 这种优化的协议解决了关键的局限性,可能导致更好的病变检测和患者的结果.

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