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Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized 13C magnetic resonance imaging.
Grist, James T; Bøgh, Nikolaj; Hansen, Esben Søvsø; Schneider, Anna M; Healicon, Richard; Ball, Vicky; Miller, Jack J J J; Smart, Sean; Couch, Yvonne; Buchan, Alastair M; Tyler, Damian J; Laustsen, Christoffer.
Affiliation
  • Grist JT; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
  • Bøgh N; Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
  • Hansen ES; Department of Radiology, Oxford University Hospitals Trust, Oxford, UK.
  • Schneider AM; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Healicon R; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
  • Ball V; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
  • Miller JJJJ; Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Smart S; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
  • Couch Y; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
  • Buchan AM; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
  • Tyler DJ; Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
  • Laustsen C; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
Sci Rep ; 13(1): 1613, 2023 01 28.
Article in En | MEDLINE | ID: mdl-36709217
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Magnetic Resonance Imaging Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom