Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography.

Abstract

Authors

• Damiano Caruso
  Department of Radiological Sciences, Oncology and Pathology, University La Sapienza, AOU Sant'Andrea, Via di Grottarossa 1035, 00189 Rome, Italy.
• Domenico De Santis
  Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza", Rome, Italy.
• Giuseppe Tremamunno
  Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
• Curzio Santangeli
  Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
• Tiziano Polidori
• Giovanna G Bona
  Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
• Marta Zerunian
  Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
• Antonella Del Gaudio
  Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
• Luca Pugliese
  Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
• Andrea Laghi
  Department of Radiological Sciences, Oncology and Pathology, University La Sapienza, AOU Sant'Andrea, Via di Grottarossa 1035, 00189 Rome, Italy.

Keywords

External Resources