Machine learning in cardiac CT: Basic concepts and contemporary data.

Journal: Journal of cardiovascular computed tomography
Published Date: Apr 30, 2018

Abstract

Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular medicine. Owing to the growing body of literature validating both the diagnostic performance as well as the prognostic implications of anatomic and physiologic findings, coronary computed tomography angiography (CCTA) is now a well-established non-invasive modality for the assessment of cardiovascular disease. ML has been increasingly utilized to optimize performance as well as extract data from CCTA as well as non-contrast enhanced cardiac CT scans. The purpose of this review is to describe the contemporary state of ML based algorithms applied to cardiac CT, as well as to provide clinicians with an understanding of its benefits and associated limitations.

Authors

  • Gurpreet Singh
    Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
  • Subhi J Al'Aref
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Marly van Assen
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • Timothy Suyong Kim
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Alexander van Rosendael
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Kranthi K Kolli
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Aeshita Dwivedi
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Gabriel Maliakal
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Mohit Pandey
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Virginie Do
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Manasa Gummalla
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Carlo N De Cecco
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • James K Min
    3 Department of Radiology, Weill Cornell Medicine , New York, New York.

Keywords

External Resources

Popular Topics
Recent Journals