Dosimetric evaluation of synthetic 3DCTs reconstructed from a single x-ray radiograph using CNN

Loyen, Estelle;et.al.
(2024) ESTRO 2024 — Location: Glasgow (3.May.2024)

Files

ESTRO_poster_Loyen3.pdf
  • Open Access
  • Adobe PDF
  • 556.13 KB
Download

Details

Authors
Abstract
Every proton therapy treatment room is equipped with x-ray imaging devices to align the patient accurately in front of the treatment beam. However, the classical fluoroscopy deployed in the treatment room is not well adapted for proton dose calculation. This can be overcome by reconstructing a 3D computed tomography (3DCT) using convolutional neural network (CNN). In this study, the suitability of these images for proton therapy of lung cancer patients was evaluated in terms of dosimetric accuracy.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Loyen, E., & et al. (2024). Dosimetric evaluation of synthetic 3DCTs reconstructed from a single x-ray radiograph using CNN. Radiotherapy & Oncology, 194(1), 3765. https://hdl.handle.net/2078.5/269130 (Original work published 2024)