Improving Clinical Utility of Fetal Cine CMR Using Deep Learning Super-Resolution.

Journal: Circulation. Cardiovascular imaging
Published Date:

Abstract

BACKGROUND: Fetal cardiovascular magnetic resonance is an emerging tool for prenatal congenital heart disease assessment, but long acquisition times and fetal movements limit its clinical use. This study evaluates the clinical utility of deep learning super-resolution reconstructions for rapidly acquired, low-resolution fetal cardiovascular magnetic resonance.

Authors

  • Thomas M Vollbrecht
    Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany. (T.M.V., C.H., A.I., M.B.V., C.C.P., D.K., J.A.L.).
  • Christopher Hart
    Babylon Health, London, United Kingdom.
  • Christoph Katemann
    From the Department of Diagnostic and Interventional Radiology (L.M.B., A.I., D.K., U.A., C.C.P., A.M.S., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (L.M.B., A.I., D.K., A.M.S., J.A.L.), Institute for Medical Biometry, Informatics and Epidemiology (L.W.), and Department of Urology (P.K., J.E.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Philips MR Clinical Science, Best, the Netherlands (J.M.P.); and Philips Market DACH, Hamburg, Germany (C.K., O.M.W.).
  • Alexander Isaak
    From the Department of Diagnostic and Interventional Radiology (L.M.B., A.I., D.K., U.A., C.C.P., A.M.S., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (L.M.B., A.I., D.K., A.M.S., J.A.L.), Institute for Medical Biometry, Informatics and Epidemiology (L.W.), and Department of Urology (P.K., J.E.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Philips MR Clinical Science, Best, the Netherlands (J.M.P.); and Philips Market DACH, Hamburg, Germany (C.K., O.M.W.).
  • Marilia B Voigt
    Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Germany. (T.M.V., C.H., A.I., M.B.V., C.C.P., D.K., J.A.L.).
  • Claus C Pieper
    Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
  • Daniel Kuetting
    From the Department of Diagnostic and Interventional Radiology (L.M.B., A.I., D.K., U.A., C.C.P., A.M.S., J.A.L.), Quantitative Imaging Laboratory Bonn (QILaB) (L.M.B., A.I., D.K., A.M.S., J.A.L.), Institute for Medical Biometry, Informatics and Epidemiology (L.W.), and Department of Urology (P.K., J.E.), University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; Philips MR Clinical Science, Best, the Netherlands (J.M.P.); and Philips Market DACH, Hamburg, Germany (C.K., O.M.W.).
  • Annegret Geipel
    Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Germany. (A.G., B.S.).
  • Brigitte Strizek
    Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Germany. (A.G., B.S.).
  • Julian A Luetkens
    Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.

Keywords

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