Breast radiation therapy fluence painting with multi-agent deep reinforcement learning.

Journal: Medical physics
PMID: 39853548

Abstract

BACKGROUND: The electronic compensation (ECOMP) technique for breast radiation therapy provides excellent dose conformity and homogeneity. However, the manual fluence painting process presents a challenge for efficient clinical operation.

Authors

  • Yang Dongrong
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Li Xinyi
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Yoo Sua
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Blitzblau Rachel
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • McDuff Susan
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Stephens Sarah
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Segars Paul
    Department of Radiology, Duke University, North Carolina, USA.
  • Wu Q Jackie
    Department of Radiation Oncology, Duke University, North Carolina, USA.
  • Sheng Yang
    Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.

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