A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.

Journal: Medical physics
PMID: 35043971

Abstract

PURPOSE: To propose a clinically feasible automatic planning solution for external beam intensity-modulated radiotherapy, including dose prediction via a deep learning and voxel-based optimization strategy.

Authors

  • Zihan Sun
    Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
  • Xiang Xia
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Jiawei Fan
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Jun Zhao
  • Kang Zhang
    Xifeng District People's Hospital, Qingyang, China.
  • Jiazhou Wang
    Department of radiation oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Weigang Hu
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

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