Daily proton dose re-calculation on deep-learning corrected cone-beam computed tomography scans.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Aug 1, 2025

Abstract

BACKGROUND AND PURPOSE: Synthetic CT (sCT) generation from cone-beam CT (CBCT) must maintain stable performance and allow for accurate dose calculation across all treatment fractions to effectively support adaptive proton therapy. This study evaluated a 3D deep-learning (DL) network for sCT generation for prostate cancer patients over the full treatment course.

Authors

  • Casper Dueholm Vestergaard
    Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Ludvig Paul Muren
    Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Ulrik Vindelev Elstrøm
    Danish Centre of Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Liliana Stolarczyk
    Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark. Electronic address: lilsto@rm.dk.
  • Ole Nørrevang
    Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Stine Elleberg Petersen
    Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark. Electronic address: stinpete@rm.dk.
  • Vicki Trier Taasti
    Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

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