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Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients.
Olin, Anders B; Hansen, Adam E; Rasmussen, Jacob H; Jakoby, Björn; Berthelsen, Anne K; Ladefoged, Claes N; Kjær, Andreas; Fischer, Barbara M; Andersen, Flemming L.
Afiliación
  • Olin AB; Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark. anders.olin@regionh.dk.
  • Hansen AE; Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.
  • Rasmussen JH; Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
  • Jakoby B; Department of Radiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
  • Berthelsen AK; Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
  • Ladefoged CN; Siemens Healthcare GmbH, Erlangen, Germany.
  • Kjær A; University of Surrey, Guildford, Surrey, UK.
  • Fischer BM; Department of Oncology, Section of Radiotherapy, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
  • Andersen FL; Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark.
EJNMMI Phys ; 9(1): 20, 2022 Mar 16.
Article en En | MEDLINE | ID: mdl-35294629

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: EJNMMI Phys Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: EJNMMI Phys Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca