Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

Journal: Journal of applied clinical medical physics
Published Date: Oct 1, 2023

Abstract

PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).

Authors

  • Dominic Maes
    Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington, USA.
  • Mats Holmström
    RaySearch Laboratories AB, Sweden.
  • Rasmus Helander
    Raysearch Laboratories, Stockholm, Sweden.
  • Jatinder Saini
    Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington, USA.
  • Christine Fang
    Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington, USA.
  • Stephen R Bowen
    Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington, USA.

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