Evaluation of a neural network-based photon beam profile deconvolution method.

Journal: Journal of applied clinical medical physics
PMID: 32227629

Abstract

PURPOSE: The authors have previously shown the feasibility of using an artificial neural network (ANN) to eliminate the volume average effect (VAE) of scanning ionization chambers (ICs). The purpose of this work was to evaluate the method when applied to beams of different energies (6 and 10 MV) and modalities [flattened (FF) vs unflattened (FFF)], measured with ICs of various sizes.

Authors

  • Karl Mund
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Chihray Liu
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Guanghua Yan
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.

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