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Fast bound pool fraction mapping via steady-state magnetization transfer saturation using single-shot EPI.
Battiston, Marco; Schneider, Torben; Grussu, Francesco; Yiannakas, Marios C; Prados, Ferran; De Angelis, Floriana; Gandini Wheeler-Kingshott, Claudia A M; Samson, Rebecca S.
Afiliación
  • Battiston M; Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.
  • Schneider T; Philips UK, Guildford, Surrey, United Kingdom.
  • Grussu F; Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.
  • Yiannakas MC; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Prados F; Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.
  • De Angelis F; Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.
  • Gandini Wheeler-Kingshott CAM; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
  • Samson RS; Universitat Oberta de Catalunya, Barcelona, Spain.
Magn Reson Med ; 82(3): 1025-1040, 2019 09.
Article en En | MEDLINE | ID: mdl-31081239

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Imagen Eco-Planar Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Imagen Eco-Planar Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido