Thesis Abstract

Abstract
This thesis presents a comprehensive study on the comparative analysis of image quality in digital radiography (DR) and computed radiography (CR) systems. The research aims to investigate the differences in image quality between these two imaging modalities widely used in radiology departments. The study also aims to identify the strengths and limitations of each system to provide valuable insights for healthcare professionals and radiographers in optimizing image acquisition and interpretation. The introduction section provides an overview of the research topic, highlighting the importance of image quality in diagnostic radiography. The background of the study delves into the historical development of DR and CR systems, outlining their principles of operation and technological advancements over the years. The problem statement identifies the gaps in existing literature regarding the comparison of image quality in DR and CR systems, setting the foundation for the current research. The objectives of the study include evaluating the differences in spatial resolution, contrast resolution, noise characteristics, and overall image quality between DR and CR systems. The limitations of the study are also discussed, including constraints related to sample size, equipment availability, and potential biases in image analysis. The scope of the study outlines the specific parameters and variables that will be considered in the comparative analysis. The significance of the study lies in its potential to enhance the understanding of radiographers, radiologists, and healthcare professionals regarding the selection and optimization of imaging modalities based on image quality considerations. The structure of the thesis provides a roadmap for the reader, outlining the chapters and subtopics covered in the research work. Definitions of key terms relevant to the study are also provided to ensure clarity and understanding of the terminology used throughout the thesis. The literature review chapter critically examines existing research studies, technical documents, and scholarly articles related to image quality in DR and CR systems. The review highlights previous findings, methodologies, and challenges encountered in comparing image quality metrics between these two modalities. The chapter synthesizes the literature to identify common trends, knowledge gaps, and areas for further investigation. The research methodology chapter details the study design, participant selection criteria, data collection methods, and image analysis techniques employed in the comparative analysis. The chapter also discusses the statistical tools and software used for data processing and interpretation. The discussion of findings chapter presents the results of the comparative analysis, highlighting the differences in image quality metrics between DR and CR systems. The chapter also discusses the implications of these findings for clinical practice, education, and future research directions. In conclusion, this thesis provides valuable insights into the comparative analysis of image quality in digital radiography versus computed radiography systems. The study contributes to the existing body of knowledge by highlighting the strengths and limitations of each imaging modality and offering recommendations for optimizing image quality in radiology practice. The summary encapsulates the key findings, implications, and contributions of the research work, emphasizing its significance for the field of diagnostic radiography. Keywords digital radiography, computed radiography, image quality, spatial resolution, contrast resolution, noise characteristics, radiology, comparative analysis, diagnostic imaging.

Thesis Overview

The research project titled "Comparative analysis of image quality in digital radiography vs. computed radiography systems" aims to investigate and compare the image quality produced by digital radiography (DR) and computed radiography (CR) systems in the field of radiography. Radiography is a critical diagnostic imaging modality used in various medical settings to visualize internal structures of the body for diagnostic purposes. DR and CR are two common technologies used in radiography, each with its unique features and benefits. The primary objective of this research is to evaluate and compare the image quality characteristics of DR and CR systems, including factors such as spatial resolution, contrast resolution, noise levels, and overall image clarity. By conducting a comparative analysis of these key parameters, this study seeks to provide valuable insights into the performance and effectiveness of DR and CR systems in producing high-quality radiographic images. The research will involve a comprehensive literature review to explore existing studies and research findings related to image quality in DR and CR systems. This review will help establish a solid theoretical framework for the study and identify gaps in the current knowledge that can be addressed through empirical research. In the research methodology, various imaging tests will be performed using both DR and CR systems to acquire radiographic images of standardized test objects and anatomical phantoms. These images will be analyzed and compared based on predefined criteria to assess and quantify differences in image quality between the two technologies. The findings of this study are expected to provide valuable insights into the strengths and limitations of DR and CR systems in terms of image quality. By identifying the factors that influence image quality and comparing the performance of DR and CR systems, this research aims to contribute to the ongoing efforts to enhance the quality and efficiency of radiographic imaging in clinical practice. Overall, this research project on the comparative analysis of image quality in digital radiography vs. computed radiography systems holds significant implications for the field of radiography, offering valuable information that can guide healthcare providers and radiology professionals in choosing the most suitable technology for their imaging needs.