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Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.
Berhane, Haben; Scott, Michael; Elbaz, Mohammed; Jarvis, Kelly; McCarthy, Patrick; Carr, James; Malaisrie, Chris; Avery, Ryan; Barker, Alex J; Robinson, Joshua D; Rigsby, Cynthia K; Markl, Michael.
Afiliación
  • Berhane H; Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
  • Scott M; Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • Elbaz M; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Jarvis K; Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • McCarthy P; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Carr J; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Malaisrie C; Divison of Cardiac Surgery, Northwestern University, Chicago, Illinois.
  • Avery R; Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • Barker AJ; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Robinson JD; Department of Radiology, Northwestern University, Chicago, Illinois.
  • Rigsby CK; Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
  • Markl M; Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
Magn Reson Med ; 84(4): 2204-2218, 2020 10.
Article en En | MEDLINE | ID: mdl-32167203
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article