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Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling.
Zhao, Bo; Setsompop, Kawin; Adalsteinsson, Elfar; Gagoski, Borjan; Ye, Huihui; Ma, Dan; Jiang, Yun; Ellen Grant, P; Griswold, Mark A; Wald, Lawrence L.
Afiliación
  • Zhao B; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Setsompop K; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • Adalsteinsson E; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Gagoski B; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • Ye H; Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Ma D; Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Jiang Y; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Ellen Grant P; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • Griswold MA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Wald LL; Department of Optical Engineering, Zhejiang University, Hangzhou, China.
Magn Reson Med ; 79(2): 933-942, 2018 02.
Article en En | MEDLINE | ID: mdl-28411394

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos