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Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction.
Ma, Liliana E; Markl, Michael; Chow, Kelvin; Huh, Hyungkyu; Forman, Christoph; Vali, Alireza; Greiser, Andreas; Carr, James; Schnell, Susanne; Barker, Alex J; Jin, Ning.
Afiliación
  • Ma LE; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Markl M; Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • Chow K; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Huh H; Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • Forman C; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Vali A; Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc, Chicago, Illinois.
  • Greiser A; Daegu-Gyeongbuk Medical Innovation Foundation, Medical Device Development Center, Daegu, South Korea.
  • Carr J; Siemens Healthcare, Erlangen, Germany.
  • Schnell S; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Barker AJ; Siemens Healthcare, Erlangen, Germany.
  • Jin N; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Magn Reson Med ; 81(6): 3675-3690, 2019 06.
Article en En | MEDLINE | ID: mdl-30803006
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aorta / Angiografía por Resonancia Magnética / Imagenología Tridimensional Límite: Adult / Humans / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aorta / Angiografía por Resonancia Magnética / Imagenología Tridimensional Límite: Adult / Humans / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article