Your browser doesn't support javascript.
loading
Fast myocardial T1 mapping using shortened inversion recovery based schemes.
Huang, Li; Neji, Radhouene; Nazir, Muhummad Sohaib; Whitaker, John; Reid, Fiona; Bosio, Filippo; Chiribiri, Amedeo; Razavi, Reza; Roujol, Sébastien.
Afiliación
  • Huang L; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Neji R; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Nazir MS; MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom.
  • Whitaker J; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Reid F; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Bosio F; School of Population Health and Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Chiribiri A; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Razavi R; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
  • Roujol S; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, United Kingdom.
J Magn Reson Imaging ; 50(2): 641-654, 2019 08.
Article en En | MEDLINE | ID: mdl-30672041
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Cardiomiopatías Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Cardiomiopatías Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido