A generalization performance study on the boosting radiotherapy dose calculation engine based on super-resolution.

Journal: Zeitschrift fur medizinische Physik
Published Date: Jan 9, 2023

Abstract

PURPOSE: During the radiation treatment planning process, one of the time-consuming procedures is the final high-resolution dose calculation, which obstacles the wide application of the emerging online adaptive radiotherapy techniques (OLART). There is an urgent desire for highly accurate and efficient dose calculation methods. This study aims to develop a dose super resolution-based deep learning model for fast and accurate dose prediction in clinical practice.

Authors

  • Yewei Wang
    Department of Radiation Physics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
  • Yaoying Liu
    School of Physics, Beihang University, Beijing, 102206, China.
  • Yanlin Bai
    Department of Radiation Physics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
  • Qichao Zhou
    Manteia Technologies Co., Ltd, Xiamen, P. R. China.
  • Shouping Xu
    Department of Radiotherapy, First Medical Center of PLA General Hospital, BeiJing 100853, P.R.China.
  • Xueying Pang
    Department of Oncology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. Electronic address: pangxueying11@163.com.

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