Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring.

Journal: Academic radiology
Published Date: Apr 6, 2024

Abstract

RATIONALE AND OBJECTIVES: To assess the impact of deep learning-based imaging reconstruction (DLIR) on quantitative results of coronary artery calcium scoring (CACS) and to evaluate the potential of DLIR for radiation dose reduction in CACS.

Authors

  • Ann-Christin Klemenz
    Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Centre Rostock, Schillingallee 36, 18057, Rostock, Germany.
  • Lynn Beckert
    Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany.
  • Mathias Manzke
    Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Centre Rostock, Schillingallee 36, 18057, Rostock, Germany.
  • Cajetan I Lang
    Department of Cardiology, University Medical Center Rostock, Rostock, Germany.
  • Marc-André Weber
    Institute of Diagnostic and Interventional Radiology, Paediatric Radiology and Neuroradiology, University Medical Centre Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany.
  • Felix G Meinel
    Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States; Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.

Keywords

External Resources

Popular Topics
Recent Journals