The role of artificial intelligence in cardiovascular magnetic resonance imaging.

Journal: Progress in cardiovascular diseases
Published Date:

Abstract

Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial tissue characterization and chamber volumetric and functional evaluation. However, manual CMR analysis can be time-consuming and is subject to intra- and inter-observer variability. Artificial intelligence (AI) is a field that permits automated task performance through the identification of high-level and complex data relationships. In this review, we review the rapidly growing role of AI in CMR, including image acquisition, sequence prescription, artifact detection, reconstruction, segmentation, and data reporting and analysis including quantification of volumes, function, myocardial infarction (MI) and scar detection, and prediction of outcomes. We conclude with a discussion of the emerging challenges to widespread adoption and solutions that will allow for successful, broader uptake of this powerful technology.

Authors

  • Afolasayo A Aromiwura
    Department of Medicine, University of Louisville, Louisville, KY, USA.
  • João L Cavalcante
    Minneapolis Heart InstituteAbbott Northwestern Hospital Minneapolis MN.
  • Raymond Y Kwong
    Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (M.J-H., R.Y.K.).
  • Aryan Ghazipour
    Medical Imaging Laboratory, Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA.
  • Amir Amini
  • Jeroen Bax
    Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands.
  • Subha Raman
    Division of Cardiology, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Gianluca Pontone
    Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Dinesh K Kalra
    Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA. Electronic address: dinesh.kalra@louisville.edu.