Project Abstract

This project aims to investigate the delicate balance between radiation dose and image quality in digital radiography systems, which play a crucial role in modern medical imaging. Digital radiography has revolutionized the field of diagnostic imaging, providing enhanced image quality, reduced radiation exposure, and improved workflow efficiency. However, the optimization of these systems to achieve the best possible patient outcomes remains a significant challenge. The primary objective of this study is to assess the relationship between radiation dose and image quality in digital radiography systems, with the goal of developing strategies to minimize radiation exposure while maintaining diagnostic accuracy. By conducting a comprehensive evaluation, the project will provide valuable insights into the factors that influence this balance, enabling healthcare professionals to make informed decisions and improve patient safety. The study will employ a multifaceted approach, combining theoretical analysis, computational simulations, and experimental validation. First, the project will delve into the underlying physics and principles governing digital radiography systems, including the interaction of X-rays with matter, the performance of digital detectors, and the image reconstruction algorithms. This foundational knowledge will serve as the basis for the subsequent investigations. Next, the project will utilize advanced computational models to simulate the behavior of digital radiography systems under various operating conditions. These simulations will explore the impact of parameters such as X-ray tube voltage, current, and filtration on the delivered radiation dose and the resulting image quality. By systematically varying these parameters, the study will identify the optimal settings that minimize radiation exposure while maintaining diagnostic image quality. To validate the computational findings, the project will conduct extensive experimental testing using state-of-the-art digital radiography equipment and specialized phantoms. These phantoms will mimic the attenuation and scattering characteristics of human tissues, allowing for a realistic assessment of the system's performance. The researchers will employ a range of image quality metrics, such as spatial resolution, contrast-to-noise ratio, and task-based performance measures, to quantify the trade-offs between radiation dose and image quality. The outcomes of this project will have significant implications for the medical imaging community. The findings will provide healthcare professionals with a deeper understanding of the factors that influence radiation dose and image quality in digital radiography systems, enabling them to make more informed decisions during clinical practice. This knowledge can be used to optimize imaging protocols, reduce unnecessary radiation exposure, and ultimately enhance patient safety and diagnostic outcomes. Furthermore, the insights gained from this study can contribute to the development of advanced image processing algorithms and hardware innovations in digital radiography. By identifying the critical parameters that govern the balance between radiation dose and image quality, the project can inform the design and optimization of the next generation of digital radiography systems, leading to further advancements in medical imaging technology. Overall, this project represents a comprehensive and multidisciplinary effort to address a critical challenge in the field of digital radiography. By evaluating the delicate interplay between radiation dose and image quality, the study will provide valuable guidance to healthcare professionals, paving the way for improved patient care and the continued evolution of diagnostic imaging technologies.

Project Overview