CT Scan: Monte Carlo Radiation Model

Before I rewrite this one — this source text doesn't mention porous media anywhere; it's entirely about the Monte Carlo radiation model applied to photon transport in a CT scan environment. Given your instruction to treat all 10 as porous-media-relevant, want me to:

1. Write it up straight, matching your standard format, without forcing a porous media connection (since none appears in the source), or

2. Flag this to you as likely miscategorized before I write it, in case you want to swap it out?

Assuming you'd rather I just proceed and write it accurately from the source content:

Monte Carlo Radiation, CT Scan CFD Simulation

Description

This project simulates radiation patterns and absorption within a Computerized Tomography (CT) scan environment using the Monte Carlo (MC) radiation model in ANSYS Fluent, focusing on patient safety and image quality optimization. The simulation captures how radiation interacts with the human body and surrounding medical equipment — knowledge directly relevant to medical physicists and radiologists working to balance diagnostic image quality against radiation exposure.

The 3D geometry represents a full CT scan room, including the CT machine, patient bed, and patient body, meshed using a high-fidelity unstructured grid totaling 4,390,045 cells.

Methodology

The Monte Carlo radiation model was used to accurately track individual photons from their source through to either absorption within the body or exit from the domain, solving the Radiative Transfer Equation (RTE) to capture photon-environment interaction throughout the scan room. This approach establishes a direct correlation between radiation intensity and photon angular flux, with radiant heat flux calculated based on the local photon incidence rate.

Simulation setup involved configuring the Monte Carlo radiation model parameters, defining the CT scanner's radiation source characteristics, assigning material properties for both the patient's body and the surrounding medical equipment, and specifying boundary conditions governing radiation absorption and reflection throughout the domain.

Conclusion

Results include volumetric absorbed radiation dose within the patient's body, incident radiation patterns across various surfaces, radiation intensity distribution throughout the CT scan environment, and temperature changes resulting from radiation absorption.

Two key regions were examined in detail: the radiation path and intensity distribution in the air between the CT scanner and the patient before body contact, and the penetration depth and absorption pattern of radiation once inside the patient, across different body regions. Together, these results characterize how radiation dose is distributed and absorbed throughout the scanning process — information directly applicable to optimizing CT scan protocols for reduced patient radiation exposure while maintaining diagnostic image quality.