Abdel-Baset holds a B.Sc in Radiologic Technology from the JUST and a M.Sc in Radiation Science from the USM. He is currently pursuing a PhD at Queensland University of Technology (QUT), focusing on Diagnostic Reference Levels (DRLs) in Computed Tomography (CT) and dose optimisation.
His research aims to assess radiation doses received by patients across different regions to determine whether they are excessive. As part of this work, he is involved in radiation dose data collection and analysis. Additionally, his project includes image quality assessment using test phantoms, including anthropomorphic phantoms (Kyoto Kagaku, Kyoto, Japan) for skull (ACS), chest (CTU-41), and abdomen imaging (PH-5). To evaluate image quality, visual grading analysis (VGA) will be used, comparing anatomical visualisation between standard and patient-specific protocols.
Abdel’s work is dedicated to optimising CT imaging by reducing radiation doses while maintaining diagnostic image quality. His research explores advanced dose-reduction techniques, including Iterative Reconstruction, Tube Current Modulation, and other optimisation strategies. Through this, he aims to enhance CT safety and efficiency, contributing to improved patient care with minimal radiation exposure.