Feasibility of photon beam profile deconvolution using a neural network.

Journal: Medical physics
Published Date: Oct 25, 2018

Abstract

PURPOSE: Ionization chambers are the detectors of choice for photon beam profile scanning. However, they introduce significant volume averaging effect (VAE) that can artificially broaden the penumbra width by 2-3 mm. The purpose of this study was to examine the feasibility of photon beam profile deconvolution (the elimination of VAE from ionization chamber-measured beam profiles) using a three-layer feedforward neural network.

Authors

  • Han Liu
    Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things, Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors, State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, China.
  • Feifei Li
    School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.
  • Jiyeon Park
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Sharon Lebron
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Bo Lu
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Jonathan G Li
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • 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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