Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.

Journal: Journal of applied clinical medical physics
Published Date:

Abstract

PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.

Authors

  • Cédric Hemon
    Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
  • Bastien Rigaud
    Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: BSRigaud@mdanderson.org.
  • Anaïs Barateau
    Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
  • Florian Tilquin
    Univ Rennes, CLCC Eugène Marquis, Inserm, Rennes, France.
  • Vincent Noblet
    ICube-UMR 7357, Strasbourg, France.
  • David Sarrut
    Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1294, INSA-Lyon, Université Lyon 1, Lyon, France.
  • Philippe Meyer
    Department of Medical Physics, Paul Strauss Center, Strasbourg, France; ICube-UMR 7357, Strasbourg, France. Electronic address: pmeyer@strasbourg.unicancer.fr.
  • Julien Bert
    LaTIM, INSERM UMR 1101, IBRBS, Faculty of Medicine, Univ Brest, 22 avenue Camille Desmoulins, F-29238, Brest, France.
  • Renaud de Crevoisier
    Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
  • Antoine Simon