Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning.

Juan Eugenio Iglesias¹, Riana Schleicher¹, Sonia Laguna¹+7

• ¹From the Athinoula A. Martinos Center for Biomedical Imaging (J.E.I., M.S.R.), Department of Radiology (J.E.I., P.S., M.S.R.), Department of Neurology and Center for Genomic Medicine (R.S., W.T.K.), and Department of Emergency Medicine (B.M., J.N.G.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK (J.E.I., B.B.); Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Mass (J.E.I.); Swiss Federal Institute of Technology (ETH), Zurich, Switzerland (S.L.); Department of Neurology, Yale New Haven Hospital, New Haven, Conn (K.N.S.); and Department of Physics, Harvard University, Cambridge, Mass (M.S.R.).