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Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against invasive methods.
Papanastasiou, Giorgos; Williams, Michelle C; Dweck, Marc R; Alam, Shirjel; Cooper, Annette; Mirsadraee, Saeed; Newby, David E; Semple, Scott I.
Affiliation
  • Papanastasiou G; Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK. gpapanas@ed.ac.uk.
  • Williams MC; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. gpapanas@ed.ac.uk.
  • Dweck MR; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Alam S; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Cooper A; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Mirsadraee S; Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
  • Newby DE; Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
  • Semple SI; Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK.
J Cardiovasc Magn Reson ; 18(1): 57, 2016 09 13.
Article in En | MEDLINE | ID: mdl-27624746
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Image Interpretation, Computer-Assisted / Magnetic Resonance Imaging, Cine / Coronary Circulation / Coronary Stenosis / Myocardial Perfusion Imaging / Patient-Specific Modeling / Models, Cardiovascular Type of study: Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Cardiovasc Magn Reson Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2016 Document type: Article Affiliation country: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Image Interpretation, Computer-Assisted / Magnetic Resonance Imaging, Cine / Coronary Circulation / Coronary Stenosis / Myocardial Perfusion Imaging / Patient-Specific Modeling / Models, Cardiovascular Type of study: Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Cardiovasc Magn Reson Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2016 Document type: Article Affiliation country: United kingdom