3-Dimensional rotational X-ray imaging, 3D-RX: image quality and patient dose simulation for optimisation studies

Area of Science:

• Medical Imaging Physics
• Radiological Engineering
• Computational Phantoms

Background:

• Traditional X-ray systems are evolving towards advanced 2D and 3D imaging techniques.
• Optimizing X-ray system design for both image quality and patient dose is crucial.
• Current simulation tools may lack comprehensive support for modern X-ray imaging modalities.

Purpose of the Study:

• To develop a comprehensive simulation model for X-ray system design, image quality optimization, and patient dose reduction.
• To enhance the model with capabilities for three-dimensional rotational X-ray imaging (3D-RX).
• To facilitate multi-parameter optimization studies through efficient calculation times.

Main Methods:

• Development of a full-scale simulation model supporting system and component requirement management.
• Integration of automatic X-ray control loop simulations.
• Calculation of key image quality metrics (contrast, sharpness, lag, noise) and patient dose.
• Addition of a dedicated 3D-RX module for specialized optimization.

Main Results:

• The model successfully integrates system-level requirements and ensures component coherence.
• Calculations of image quality figures of merit and patient dose are performed efficiently.
• The new 3D-RX module enables simplified and accelerated optimization of exposure factors, dose control, and image processing algorithms.
• Short calculation times facilitate extensive multi-parameter optimization studies.

Conclusions:

• The developed simulation model is a versatile tool for optimizing 2D X-ray systems.
• The added 3D-RX module significantly enhances the model's utility for advanced rotational X-ray imaging.
• This tool can accelerate the design and optimization process for next-generation X-ray imaging systems, balancing image quality and patient safety.