A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.

Journal: Journal of applied clinical medical physics
Published Date: Apr 13, 2020

Abstract

PURPOSE: To develop and test a three-dimensional (3D) deep learning model for predicting 3D voxel-wise dose distributions for intensity-modulated radiotherapy (IMRT).

Authors

  • Jieping Zhou
    Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
  • Zhao Peng
    Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
  • Yuchen Song
    Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
  • Yankui Chang
    Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
  • Xi Pei
    Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.
  • Liusi Sheng
    National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, Anhui, China.
  • X George Xu
    Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China.

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