MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.

Journal: International journal of radiation oncology, biology, physics
Published Date: Jun 4, 2018

Abstract

PURPOSE: This work aims to facilitate a fast magnetic resonance (MR)-only workflow for radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed tomography (sCT) images generated with a dilated convolutional neural network (CNN) enable accurate MR-based dose calculations in the brain.

Authors

  • Anna M Dinkla
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: a.m.dinkla@umcutrecht.nl.
  • Jelmer M Wolterink
    Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, 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.
  • Joost J C Verhoeff
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Enrica Seravalli
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Ivana Išgum
    Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands.
  • Peter R Seevinck
    Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Cornelis A T van den Berg
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.

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