Deep learning-based 4D-synthetic CTs from sparse-view CBCTs for dose calculations in adaptive proton therapy.

Abstract

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.
• Sabine Visser
  Department, of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
• 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.

Keywords

External Resources