A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID: 36063982

Abstract

INTRODUCTION: This study aims to apply a conditional Generative Adversarial Network (cGAN) to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance (MR) images of the thorax.

Authors

  • Jacopo Lenkowicz
    Istituto di Radiologia, Universitá Cattolica del Sacro Cuore, Largo F.Vito 1, 00168 Rome, Italy.
  • Claudio Votta
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Matteo Nardini
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Flaviovincenzo Quaranta
    Medical Physics, Mater Olbia Hospital, 07026 Sassari, Italy.
  • Francesco Catucci
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Luca Boldrini
    Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Marica Vagni
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Sebastiano Menna
    Medical Physics, Mater Olbia Hospital, 07026 Sassari, Italy.
  • Lorenzo Placidi
    Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Angela Romano
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Giuditta Chiloiro
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Maria Antonietta Gambacorta
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Gian Carlo Mattiucci
  • Luca Indovina
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Vincenzo Valentini
    Agostino Gemelli University Polyclinic (IRCCS), Rome, Italy.
  • Davide Cusumano
    Polo Scienze Oncologiche ed Ematologiche, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 8, 00168 Rome, Italy.

Keywords

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