Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

Journal: Medical physics
Published Date: Nov 16, 2021

Abstract

PURPOSE: Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric imaging of diagnostic quality. Cone-beam CT (CBCT) can provide these daily images, but x-ray scattering limits CBCT-image quality and hampers dose calculation accuracy. The purpose of this study was to generate CBCT-based synthetic CTs using a deep convolutional neural network (DCNN) and investigate image quality and clinical suitability for proton dose calculations in lung cancer patients.

Authors

  • Adrian Thummerer
    Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Carmen Seller Oria
    Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Paolo Zaffino
    Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, 88100, Catanzaro, Italy.
  • Arturs Meijers
  • Gabriel Guterres Marmitt
    Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Robin Wijsman
    Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Joao Seco
    Biomedical Physics in Radiation Oncology, DKFZ-Deutsches Krebsforschungszentrum, Heidelberg, Germany; Department of Physics and Astronomy, Heidelberg University, Germany. Electronic address: j.seco@dkfz.de.
  • Johannes Albertus Langendijk
    Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Antje-Christin Knopf
    Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Maria Francesca Spadea
    Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy.
  • Stefan Both
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.

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