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An MR fingerprinting approach for quantitative inhomogeneous magnetization transfer imaging.
West, Daniel J; Cruz, Gastao; Teixeira, Rui P A G; Schneider, Torben; Tournier, Jacques-Donald; Hajnal, Joseph V; Prieto, Claudia; Malik, Shaihan J.
Afiliación
  • West DJ; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Cruz G; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Teixeira RPAG; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Schneider T; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Tournier JD; Philips Healthcare, Guildford, United Kingdom.
  • Hajnal JV; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Prieto C; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Malik SJ; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
Magn Reson Med ; 87(1): 220-235, 2022 01.
Article en En | MEDLINE | ID: mdl-34418151

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Sustancia Blanca Tipo de estudio: Prognostic_studies Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Sustancia Blanca Tipo de estudio: Prognostic_studies Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos