Akademik Veri Yönetim Sistemi
Radiation Physics and Chemistry, cilt.239, 2026 (SCI-Expanded, Scopus)
This study aimed to find out how well Monte Carlo simulations, done using the GATE platform, can mimic real-life CT scans. The idea was to check if the simulated images and data actually line up with what we get from actual clinical CT imaging. It was focused on comparing image quality, radiation dose distribution, and Hounsfield Unit (HU) values. The Catphan CTP404 phantom was used as a reference, and the simulation setup matched the Siemens Biograph Horizon PET/CT system. GATE version 9.3 in a virtual environment was used and simulated 100,000 particles. Two different energy levels (80 keV and 110 keV) were tested. The simulated images were reconstructed using Python and ITK. To improve visual clarity, histogram equalization and Gaussian filtering were used. HU values were extracted using SimpleITK for the simulation and ImageJ for the real CT scans. ROOT was utilized to examine energy distribution across various components within the phantom. The findings demonstrated that the simulated and actual CT scans were very similar. Teflon, acrylic, and delrin all had HU values that were nearly in line with anticipated clinical values. Additionally, photon detection and energy interactions in the simulation were verified by ROOT-based analysis to be in accordance with physical assumptions. Consequently, GATE-based Monte Carlo simulations proved to be a reliable method for CT imaging research. The framework not only helped model real-world scenarios accurately but also showed great potential for improving imaging protocols and optimizing dose control in future medical imaging applications.