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Can we predict motion artifacts in clinical MRI before the scan completes?

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第一作者： Malte,Hoffmann

第一单位： Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.;Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.

作者： Malte,Hoffmann ^[1] ; Nalini M,Singh ^[2] ; Adrian V,Dalca ^[3] ; Bruce,Fischl ^[4] ; Robert,Frost ^[1]

作者单位： Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.;Department of Radiology, Harvard Medical School, Boston, MA 02115, USA. ^[1] Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.;Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139, USA. ^[2] Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.;Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.;Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA. ^[3] Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.;Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.;Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.;Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139, USA. ^[4]

关键词 AI-guided radiology brain deep learning image quality neuroimaging

PMID 37692094

发布时间 2024-01-24

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