Accelerated deep learning-based function assessment in cardiovascular magnetic resonance.

Journal: La Radiologia medica
Published Date: May 17, 2025

Abstract

PURPOSE: To evaluate diagnostic accuracy and image quality of deep learning (DL) cine sequences for LV and RV parameters compared to conventional balanced steady-state free precession (bSSFP) cine sequences in cardiovascular magnetic resonance (CMR).

Authors

  • 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.
  • Federica Fanelli
    Department of Medical-Surgical Sciences and Translational Medicine, School of Medicine and Psychology, 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.
  • Giovanna Grazia Bona
    Department of Medical-Surgical Sciences and Translational Medicine, School of Medicine and Psychology, Sapienza - University of Rome, Sant'Andrea University Hospital, Via Di Grottarossa, 1035-1039, 00189, Rome, Italy.
  • Tiziano Polidori
  • Curzio Santangeli
    Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
  • Michela Polici
    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.
  • 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.
  • 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.
  • Andrea Laghi
    Department of Radiological Sciences, Oncology and Pathology, University La Sapienza, AOU Sant'Andrea, Via di Grottarossa 1035, 00189 Rome, Italy.
  • Damiano Caruso
    Department of Radiological Sciences, Oncology and Pathology, University La Sapienza, AOU Sant'Andrea, Via di Grottarossa 1035, 00189 Rome, Italy.

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