Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.

Journal: Medical physics
Published Date: Jul 9, 2019

Abstract

PURPOSE: To develop and evaluate a patch-based convolutional neural network (CNN) to generate synthetic computed tomography (sCT) images for magnetic resonance (MR)-only workflow for radiotherapy of head and neck tumors. A patch-based deep learning method was chosen to improve robustness to abnormal anatomies caused by large tumors, surgical excisions, or dental artifacts. In this study, we evaluate whether the generated sCT images enable accurate MR-based dose calculations in the head and neck region.

Authors

  • Anna M Dinkla
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: a.m.dinkla@umcutrecht.nl.
  • Mateusz C Florkow
    Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Matteo Maspero
    Department of Radiation Oncology, Imaging and Cancer Division, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mark H F Savenije
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Frank Zijlstra
    Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Patricia A H Doornaert
    Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Marijn van Stralen
    Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Marielle E P Philippens
    Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Cornelis A T van den Berg
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Peter R Seevinck
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.

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