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An efficient framework for photon Monte Carlo treatment planning.

Michael K Fix1, Peter Manser, Daniel Frei

  • 1Division of Medical Radiation Physics, Inselspital and University of Berne, CH-3010 Berne, Switzerland. michael.fix@ams.unibe.ch

Physics in Medicine and Biology
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A new graphical user interface (GUI)-based photon Monte Carlo treatment planning (MCTP) environment automates complex procedures. This flexible framework optimizes Monte Carlo calculations for faster, more efficient clinical use in radiation therapy.

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Area of Science:

  • Medical Physics
  • Computational Physics
  • Radiotherapy Physics

Background:

  • Photon Monte Carlo treatment planning (MCTP) is currently a cumbersome, multi-step process requiring significant user interaction.
  • The long computation times associated with MCTP hinder its routine clinical application, necessitating optimization and automation.

Purpose of the Study:

  • To develop a flexible, GUI-based photon Monte Carlo (MC) environment for automated and optimized treatment planning.
  • To integrate MC calculations seamlessly into existing treatment planning systems (TPS) for clinical routine.

Main Methods:

  • Developed a flexible MC framework dividing particle transport into source, beam modifier, and patient modules.
  • Implemented independent selection of MC transport codes and geometry complexity for beam modifiers.
  • Utilized a plug-in for the Eclipse TPS to interface with the MC GUI, passing data via Dicom streams.
  • Separated MC transport from geometry, using in-memory particle passing to eliminate file-based interfaces.

Main Results:

  • The framework successfully automates MCTP, reducing user interaction and computation time.
  • Demonstrated flexibility by allowing independent selection of MC codes and geometry for beam modifiers.
  • Validated the system through applications involving beam modifiers and patient cases, comparing MC dose distributions with pencil beam and AAA algorithms.

Conclusions:

  • The developed GUI-based MC environment provides a flexible and efficient framework for photon MCTP.
  • Interfacing with TPS like Eclipse enables widespread use for various investigations, from benchmarking to clinical patient studies.
  • The modular design allows for future expansion, maintaining system flexibility and efficiency.