First Steps into K-Edge Imaging

Over the past week, I focused on the technical setup required for my simulations and an exploration of the physics behind K-edge imaging.  After spending significant time configuring the necessary tools and environments on Terminal, I successfully installed and set up the simulation frameworks Geant4 and TOPAS on my computer.  These platforms are widely used in medical physics to model how radiation interacts with matter.  Once the environment was running correctly, I began testing it by running example simulations included with the software. I first ran a basic radiation dose example provided by TOPAS (using a phantom material) to confirm that the simulation engine and visualization tools were functioning properly.  After this initial success, I moved on to a more complex example involving a lung model. To better interpret the outputs of these simulations, I also began using Python to visualize the resulting data, which will eventually allow me to generate plots and images from my own experiments.

I also continued researching the role of K-edge imaging in medical diagnostics.  K-edge imaging is most effective for detecting high atomic number elements introduced into the body as contrast agents, such as Iodine, which produces a strong absorption jump at a specific photon energy.  This property allows imaging systems to highlight the location of the contrast agent while reducing background interference from soft tissue.  My project will investigate how emerging Inverse Compton Scattering (ICS) X-ray sources could improve this process.  Unlike conventional hospital X-ray tubes, which produce broad polychromatic radiation through Bremsstrahlung emission, ICS systems can generate narrower and tunable photon energy spectra.  Using Geant4 and TOPAS, I plan to simulate two types of imaging setups: a traditional polychromatic X-ray source and a narrow-band tunable source representing an ICS beam.  By comparing how these sources interact with materials that represent tissue and contrast agents, I hope to determine whether ICS based systems offer noticeable and significant advantages for K-edge imaging.  At this stage, I am continuing to refine the simulation, test different setups, and further my understanding of how these models can represent real medical imaging scenarios.