Advanced prediction of multi-leaf collimator leaf position using artificial neural network.

Journal: Medical physics
PMID: 39967008

Abstract

BACKGROUND: Multi-leaf collimators (MLCs) are crucial for modern radiotherapy as they ensure precise target irradiation through accurate leaf positioning. Accurate prediction of MLC leaf positions is vital for the effectiveness and safety of treatments.

Authors

  • Jun Lv
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Liuli Chen
    SuperAccuracy Science & Technology Co., Ltd, Nanjing, China.
  • Zhiqiang Zhu
    School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.
  • Pengcheng Long
    SuperAccuracy Science & Technology Co., Ltd, Nanjing, China.
  • Liqin Hu
    SuperAccuracy Science & Technology Co., Ltd, Nanjing, China.
  • Han Zhou
    Jiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou, China.
  • Zetian Shen
    Department of Radiation Oncology The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210002, China.

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