Real-time adaptive proton therapy: An AI-based spatio-temporal mono-energetic dose calculation model (CC-LSTM).

Journal: Computers in biology and medicine
PMID: 39946787

Abstract

PURPOSE: To develop a fully AI-based dose estimation model capable of learning and estimating single pencil beam dose distributions, and to verify its performance by testing the model's generalizability on unseen, previously delivered treatment plans. Additionally, the model aims to achieve super-fast runtimes suitable for incorporation into real-time adaptive proton therapy (APT).

Authors

  • Ahmad Neishabouri
    Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany. Electronic address: a.neishabouri@dkfz.de.
  • Julia Bauer
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
  • Amir Abdollahi
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
  • Jürgen Debus
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology, Heidelberg, Germany; Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany.
  • Andrea Mairani
    Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.

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