基于深度学习的T1加权单剂量图像的信号放大改善了脑MRI中转移的检测

Robert Haase1, Thomas Pinetz, Erich Kobler

  • 1From the Department of Diagnostic and Interventional Neuroradiology, University Hospital Bonn, Bonn, Germany (R.H., E.K., Z.B., S.Z., A.-H.S., F.C.S., S.P., A.M.S., D.P., A.R., K.D.); Institute of Applied Mathematics, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany (T.P., A.E.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (D.P.); Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany (D.P., H.-P.S.); Department of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany (M.F.-D., K.S., G.H., C.P.H.); Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany (M.F.-D.); Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (V.W., C.P.H.); Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (M.H., J.H., C.D.); Translational Lung Research Center Heidelberg (TLRC), Member of the German Center of Lung Research (DZL), Heidelberg, Germany (C.P.H.); Praxisnetz, Radiology and Nuclear Medicine, Bonn, Germany (M.V.); Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany (J.A.L.); German Center for Neurodegenerative Diseases (DZNE), Helmholtz Association of German Research Centers, Bonn, Germany (A.R., K.D.); and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA (K.D.).

Investigative radiology
|February 17, 2025
PubMed
概括

深度学习增强单剂量脑MRI,以创建人工双剂量图像,改善大脑转移的检测. 这种人工智能方法增加了灵敏度,特别是对于较小的瘤,而不会影响准确度.