Detecting and quantifying spatial misalignment between longitudinal kilovoltage computed tomography (kVCT) scans of the head and neck by using convolutional neural networks (CNNs).

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

BACKGROUND: Adaptive radiotherapy (ART) aims to address anatomical modifications appearing during the treatment of patients by modifying the planning treatment according to the daily positioning image. Clinical implementation of ART relies on the quality of the deformable image registration (DIR) algorithms included in the ART workflow. To translate ART into clinical practice, automatic DIR assessment is needed.

Authors

  • Alex Lallement
    ICube-UMR 7357, Strasbourg, France.
  • Vincent Noblet
    ICube-UMR 7357, Strasbourg, France.
  • Delphine Antoni
    Department of Radiation Therapy, Institut de Cancérologie de Strasbourg, Strasbourg, France.
  • Philippe Meyer
    Department of Medical Physics, Paul Strauss Center, Strasbourg, France; ICube-UMR 7357, Strasbourg, France. Electronic address: pmeyer@strasbourg.unicancer.fr.