Abstract ID: 103 GAMOS: Implementation of a graphical user interface for dosimetry calculation in radiotherapy.

Area of Science:

• Medical Physics
• Computational Biology
• Radiation Dosimetry

Background:

• Monte Carlo simulations are crucial for radiation tracking and dosimetry in biological tissues.
• Existing tools like GEANT4 and GAMOS present steep learning curves for non-programmers.
• Biological researchers often lack the programming expertise required for advanced simulation software.

Purpose of the Study:

• To design and develop a user-friendly Graphical User Interface (GUI) for radiation simulation.
• To enable absorbed dose calculation and particle tracking in various biological models.
• To make advanced Monte Carlo simulations accessible to a broader research community.

Main Methods:

• The GUI is built upon the open-source GEANT4 toolkit for physics simulations.
• QT cross-platform application framework is used for programming and display functionalities.
• Absorbed dose calculations utilize 3D CT images (DICOM), phantom data, or defined material volumes.

Main Results:

• The GUI offers intuitive controls for source parameters (shape, position, energy, type).
• It facilitates the simulation of various particle types and interactions, including energy deposition.
• Results are presented clearly, including histograms for absorbed dose and particle tracking data.

Conclusions:

• The developed GUI significantly lowers the barrier to entry for radiation simulation studies.
• Researchers can perform complex dosimetry and tracking without C++ or GEANT4 architecture knowledge.
• The open-source GUI will be freely available, promoting wider adoption and research advancement.