Assessment of Radiation Dose Reduction Techniques in Computed Tomography Imaging

Thesis Abstract

Abstract
This thesis presents a comprehensive investigation into the assessment of various radiation dose reduction techniques in computed tomography (CT) imaging. The study aims to address the critical issue of minimizing radiation exposure to patients undergoing CT scans while maintaining image quality for accurate diagnosis. In recent years, concerns have been raised regarding the potential risks associated with excessive radiation doses from CT imaging, highlighting the need for effective dose reduction strategies. The research methodology involves a systematic literature review to identify and evaluate the existing radiation dose reduction techniques in CT imaging. Ten key techniques, including tube current modulation, iterative reconstruction, automatic exposure control, and protocol optimization, are critically analyzed in terms of their efficacy in reducing radiation dose without compromising image quality. The study also investigates the impact of these techniques on various patient populations, such as pediatric and high-risk groups. The findings reveal that a combination of multiple dose reduction techniques can significantly reduce radiation exposure in CT imaging while ensuring diagnostic image quality. Moreover, the study highlights the importance of tailored approaches for different clinical scenarios to achieve optimal dose reduction outcomes. The research methodology includes the use of phantom studies and computational simulations to assess the dose reduction potential of each technique in a controlled environment. The results demonstrate that the implementation of radiation dose reduction techniques in CT imaging can lead to substantial reductions in patient radiation dose, thereby minimizing the associated risks of radiation exposure. Furthermore, the study discusses the challenges and limitations associated with the adoption of these techniques, such as increased scan time and potential image artifacts. In conclusion, this thesis provides valuable insights into the assessment of radiation dose reduction techniques in CT imaging and their practical implications for clinical practice. The findings emphasize the importance of continuous optimization and customization of dose reduction strategies to ensure patient safety without compromising diagnostic accuracy. This research contributes to the ongoing efforts to enhance radiation safety in medical imaging and promote the adoption of best practices for radiation dose management in CT imaging.