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Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network.
Schramm, Georg; Rigie, David; Vahle, Thomas; Rezaei, Ahmadreza; Van Laere, Koen; Shepherd, Timothy; Nuyts, Johan; Boada, Fernando.
Afiliação
  • Schramm G; Department of Imaging and Pathology, Division of Nuclear Medicine, KU/UZ Leuven, Leuven, Belgium. Electronic address: georg.schramm@kuleuven.be.
  • Rigie D; Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NYC, US.
  • Vahle T; Siemens Healthcare GmbH, Erlangen, Germany.
  • Rezaei A; Department of Imaging and Pathology, Division of Nuclear Medicine, KU/UZ Leuven, Leuven, Belgium.
  • Van Laere K; Department of Imaging and Pathology, Division of Nuclear Medicine, KU/UZ Leuven, Leuven, Belgium.
  • Shepherd T; Department of Neuroradiology, NYU Langone Health, Department of Radiology, New York University School of Medicine, New York, US.
  • Nuyts J; Department of Imaging and Pathology, Division of Nuclear Medicine, KU/UZ Leuven, Leuven, Belgium.
  • Boada F; Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NYC, US.
Neuroimage ; 224: 117399, 2021 01 01.
Article em En | MEDLINE | ID: mdl-32971267

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Redes Neurais de Computação / Tomografia por Emissão de Pósitrons Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Redes Neurais de Computação / Tomografia por Emissão de Pósitrons Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article