A Geant4-based Monte Carlo X-ray imaging simulation platform

Area of Science:

• Medical Imaging
• Computational Physics
• Non-Destructive Testing

Background:

• X-ray digital radiography is crucial for internal structure analysis.
• Current methods rely on physical trials for parameter optimization, increasing radiation exposure.
• Limitations exist in purely geometrical models (CAD) for simulating X-ray interactions.

Purpose of the Study:

• To introduce GMAX (Geant4-based Monte Carlo Advanced X-ray), a simulation platform for X-ray imaging.
• To address radiation exposure risks by optimizing imaging parameters through simulation.
• To provide a tool for accurate evaluation of imaging parameters and 3D image construction.

Main Methods:

• Utilized Geant4, a Monte Carlo simulation toolkit, as the core of the GMAX platform.
• Developed GMAX to simulate X-ray interactions with objects, going beyond geometrical data.
• Implemented functionality for evaluating imaging parameters and constructing 3D images from simulations.

Main Results:

• GMAX facilitates high-fidelity X-ray imaging simulations.
• The platform accurately evaluates critical imaging parameters like source-to-target distance.
• GMAX enables 3D image construction, enhancing visualization and analysis capabilities.

Conclusions:

• GMAX offers a simulation-based approach to optimize X-ray imaging parameters, reducing radiation exposure.
• The software provides accurate simulation of X-ray interactions and parameter evaluation.
• GMAX serves as an effective tool for X-ray non-destructive testing and inspection applications.