Your browser doesn't support javascript.
loading
Quantitative PET in the 2020s: a roadmap.
Meikle, Steven R; Sossi, Vesna; Roncali, Emilie; Cherry, Simon R; Banati, Richard; Mankoff, David; Jones, Terry; James, Michelle; Sutcliffe, Julie; Ouyang, Jinsong; Petibon, Yoann; Ma, Chao; El Fakhri, Georges; Surti, Suleman; Karp, Joel S; Badawi, Ramsey D; Yamaya, Taiga; Akamatsu, Go; Schramm, Georg; Rezaei, Ahmadreza; Nuyts, Johan; Fulton, Roger; Kyme, André; Lois, Cristina; Sari, Hasan; Price, Julie; Boellaard, Ronald; Jeraj, Robert; Bailey, Dale L; Eslick, Enid; Willowson, Kathy P; Dutta, Joyita.
Afiliación
  • Meikle SR; Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
  • Sossi V; Brain and Mind Centre, The University of Sydney, Australia.
  • Roncali E; Department of Physics and Astronomy, University of British Columbia, Canada.
  • Cherry SR; Department of Biomedical Engineering, University of California, Davis, United States of America.
  • Banati R; Department of Biomedical Engineering, University of California, Davis, United States of America.
  • Mankoff D; Department of Radiology, University of California, Davis, United States of America.
  • Jones T; Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
  • James M; Brain and Mind Centre, The University of Sydney, Australia.
  • Sutcliffe J; Australian Nuclear Science and Technology Organisation, Sydney, Australia.
  • Ouyang J; Department of Radiology, University of Pennsylvania, United States of America.
  • Petibon Y; Department of Radiology, University of California, Davis, United States of America.
  • Ma C; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), CA, United States of America.
  • El Fakhri G; Department of Neurology and Neurological Sciences, Stanford University, CA, United States of America.
  • Surti S; Department of Biomedical Engineering, University of California, Davis, United States of America.
  • Karp JS; Department of Internal Medicine, University of California, Davis, CA, United States of America.
  • Badawi RD; Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, United States of America.
  • Yamaya T; Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, United States of America.
  • Akamatsu G; Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, United States of America.
  • Schramm G; Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, United States of America.
  • Rezaei A; Department of Radiology, University of Pennsylvania, United States of America.
  • Nuyts J; Department of Radiology, University of Pennsylvania, United States of America.
  • Fulton R; Department of Biomedical Engineering, University of California, Davis, United States of America.
  • Kyme A; Department of Radiology, University of California, Davis, United States of America.
  • Lois C; National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan.
  • Sari H; National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan.
  • Price J; Department of Imaging and Pathology, Nuclear Medicine & Molecular imaging, KU Leuven, Belgium.
  • Boellaard R; Department of Imaging and Pathology, Nuclear Medicine & Molecular imaging, KU Leuven, Belgium.
  • Jeraj R; Department of Imaging and Pathology, Nuclear Medicine & Molecular imaging, KU Leuven, Belgium.
  • Bailey DL; Brain and Mind Centre, The University of Sydney, Australia.
  • Eslick E; Department of Medical Physics, Westmead Hospital, Sydney, Australia.
  • Willowson KP; Brain and Mind Centre, The University of Sydney, Australia.
  • Dutta J; School of Biomedical Engineering, Faculty of Engineering and IT, The University of Sydney, Australia.
Phys Med Biol ; 66(6): 06RM01, 2021 03 12.
Article en En | MEDLINE | ID: mdl-33339012
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Tomografía de Emisión de Positrones / Tomografía Computarizada por Tomografía de Emisión de Positrones / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Australia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Tomografía de Emisión de Positrones / Tomografía Computarizada por Tomografía de Emisión de Positrones / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Australia