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

Hoffmann, Malte; Singh, Nalini M; Dalca, Adrian V; Fischl, Bruce; Frost, Robert

Hoffmann, Malte; Singh, Nalini M; Dalca, Adrian V; Fischl, Bruce; Frost, Robert.

Afiliación

Hoffmann M; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Singh NM; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
Dalca AV; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.
Fischl B; Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139, USA.
Frost R; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.

Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib ; 20232023 May.

Article en En | MEDLINE | ID: mdl-37692094

Palabras clave

AI-guided radiology; brain; deep learning; image quality; neuroimaging

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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