Dose calculation in computerized tomography.

Area of Science:

• Medical Physics
• Computational Imaging
• Radiation Dosimetry

Background:

• Computed Tomography (CT) imaging is crucial for medical diagnosis but involves patient exposure to ionizing radiation.
• Accurate estimation of organ radiation dose is essential for risk assessment and optimization of CT protocols.
• Current methods for dose calculation can be time-consuming and complex.

Purpose of the Study:

• To develop an automated methodology for calculating organ-specific radiation dose from CT images.
• To implement and validate a GPU-accelerated Monte Carlo simulation for dose estimation.
• To assess the accuracy and efficiency of the proposed methodology.

Main Methods:

• Automatic segmentation and voxelization of CT images based on CT numbers to create patient-specific 3D models.
• Utilizing Monte Carlo (MC) simulation codes, specifically MCNP6.1.1 as a reference and MC-GPU for accelerated calculations.
• Comparison of dose results obtained from MC-GPU against MCNP6.1.1 to validate the methodology.

Main Results:

• The developed methodology successfully automates the process of generating 3D models from CT images.
• MC-GPU simulations demonstrated high-speed dose calculations due to GPU parallelization.
• Results from MC-GPU showed good agreement with the reference MCNP6.1.1 simulations, indicating accuracy.

Conclusions:

• The automated methodology provides an efficient and accurate approach for calculating organ radiation dose from CT scans.
• MC-GPU is a viable tool for rapid and reliable patient dose estimation in medical imaging.
• This work contributes to improved radiation safety in CT imaging through precise dose quantification.