A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date:

Abstract

PURPOSE: Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this study is to set up a Deep Learning (DL) approach able to generate synthetic computed tomography (sCT) images from low field MR images in pelvis and abdomen.

Authors

  • Davide Cusumano
    Polo Scienze Oncologiche ed Ematologiche, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 8, 00168 Rome, Italy.
  • 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.
  • Luca Boldrini
    Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Lorenzo Placidi
    Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Francesco Catucci
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Nicola Dinapoli
    Polo Scienze Oncologiche ed Ematologiche, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli, 8, 00168 Rome, Italy.
  • Marco Valerio Antonelli
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Angela Romano
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Viola De Luca
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Giuditta Chiloiro
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Luca Indovina
    Fondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, Rome, Italy.
  • Vincenzo Valentini
    Agostino Gemelli University Polyclinic (IRCCS), Rome, Italy.