Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.

Journal: Medical physics
Published Date: Jul 1, 2022

Abstract

BACKGROUND: Dose deposition characteristics of proton radiation can be advantageous over photons. Proton treatment planning, however, poses additional challenges for the planners. Proton therapy is usually delivered with only a small number of beam angles, and the quality of a proton treatment plan is largely determined by the beam angles employed. Finding the optimal beam angles for a proton treatment plan requires time and experience, motivating the investigation of automatic beam angle selection methods.

Authors

  • Robert Kaderka
    Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
  • Keng-Chi Liu
    Taiwan AI Labs, Taipei, Taiwan.
  • Lawrence Liu
    California Protons Cancer Therapy Center, San Diego, California, USA.
  • Reynald VanderStraeten
    Varian Medical Systems, Palo Alto, California, USA.
  • Tyng-Luh Liu
    Taiwan AI Labs, Taipei, Taiwan.
  • Kuang-Min Lee
    Taiwan AI Labs, Taipei, Taiwan.
  • Yi-Chin Ethan Tu
    Taiwan AI Labs, Taipei, Taiwan.
  • Iain MacEwan
    Department of Radiation Medicine and Applied Sciences, University of California at San Diego, La Jolla, California, USA.
  • Daniel Simpson
    Department of Radiation Medicine and Applied Sciences, University of California at San Diego, La Jolla, California, USA.
  • James Urbanic
    Department of Radiation Medicine and Applied Sciences, University of California at San Diego, La Jolla, California, USA.
  • Chang Chang
    Department of Radiation Medicine and Applied Sciences, University of California at San Diego, La Jolla, California, USA.

Keywords

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