A feasibility study for in vivo treatment verification of IMRT using Monte Carlo dose calculation and deep learning-based modelling of EPID detector response.

Journal: Radiation oncology (London, England)
Published Date: Feb 10, 2022

Abstract

BACKGROUND: This paper describes the development of a predicted electronic portal imaging device (EPID) transmission image (TI) using Monte Carlo (MC) and deep learning (DL). The measured and predicted TI were compared for two-dimensional in vivo radiotherapy treatment verification.

Authors

  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Zhibiao Cheng
    Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China.
  • Ziting Fan
    Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China.
  • Qilin Zhang
  • Xile Zhang
    Department of Radiation Oncology, Peking University Third Hospital, Beijing, China.
  • Ruijie Yang
    Department of Radiation Oncology, Peking University Third Hospital, Beijing, China. Electronic address: ruijyang@yahoo.com.
  • Junhai Wen
    Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China. wenjh@bit.edu.cn.

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