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A novel approach to assess the treatment response using Gaussian random field in PET.
Wang, Mengdie; Guo, Ning; Hu, Guangshu; El Fakhri, Georges; Zhang, Hui; Li, Quanzheng.
Afiliação
  • Wang M; Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China and Center for Advanced Medical Imaging Science, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114.
  • Guo N; Center for Advanced Medical Imaging Science, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114.
  • Hu G; Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
  • El Fakhri G; Center for Advanced Medical Imaging Science, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114 and Department of Radiology, Harvard Medical School, Boston, Massachusetts 02115.
  • Zhang H; Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
  • Li Q; Center for Advanced Medical Imaging Science, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Boston, Massachusetts 02114 and Department of Radiology, Harvard Medical School, Boston, Massachusetts 02115.
Med Phys ; 43(2): 833-42, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26843244
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Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia por Emissão de Pósitrons Tipo de estudo: Clinical_trials / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Med Phys Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia por Emissão de Pósitrons Tipo de estudo: Clinical_trials / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Med Phys Ano de publicação: 2016 Tipo de documento: Article