Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL) have been investigated by mimicking the voxel's dose. However, plan optimization using voxel-dose features has not been extensively studied.

Authors

  • Yichao Shen
    Department of Radiation Oncology, Taizhou Hospital, Taizhou, Zhejiang, People's Republic of China.
  • Xingni Tang
    Department of Radiation Oncology, Taizhou Hospital, Taizhou, Zhejiang, People's Republic of China.
  • Sara Lin
    Petrone associates, Staten Island, New York, USA.
  • Xiance Jin
    Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, No.2 Fuxue Lane, Wenzhou, 325000, People's Republic of China.
  • Jiapei Ding
    Department of Radiation Oncology, Taizhou Hospital, Taizhou, Zhejiang, People's Republic of China.
  • Minghai Shao
    Department of Radiation Oncology, Taizhou Hospital, Taizhou, Zhejiang, People's Republic of China.