Thesis Abstract

Abstract
The field of radiography has seen significant advancements with the integration of artificial intelligence (AI) technologies in recent years. This thesis focuses on the application of AI in image quality assessment for digital radiography, aiming to enhance the accuracy and efficiency of image evaluation processes. The study explores the potential of AI algorithms to automate the assessment of image quality parameters such as resolution, noise, contrast, and artifacts, which are crucial for diagnostic accuracy in radiology. Chapter One provides an introduction to the research topic, delving into the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter Two examines existing studies on AI applications in radiography and image quality assessment, highlighting key findings and gaps in the current research. Chapter Three details the research methodology, including the selection of AI algorithms, dataset collection, preprocessing techniques, training and evaluation methods, and statistical analysis procedures. The chapter also discusses ethical considerations and potential biases in the AI models used for image quality assessment. In Chapter Four, the findings of the study are presented and discussed in detail, focusing on the performance of AI algorithms in accurately assessing image quality parameters compared to manual evaluations. The chapter also explores the challenges and limitations encountered during the research process, along with potential areas for future research and improvement. Finally, Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research for the field of radiography, and providing recommendations for the practical implementation of AI in image quality assessment. The study contributes to the growing body of knowledge on the integration of AI technologies in radiography and highlights the potential for improving diagnostic accuracy and workflow efficiency in healthcare settings. Overall, this thesis underscores the importance of leveraging AI for image quality assessment in digital radiography, paving the way for enhanced patient care, streamlined radiology workflows, and improved diagnostic outcomes in the field of medical imaging.

Thesis Overview

The project titled "Application of Artificial Intelligence in Image Quality Assessment for Digital Radiography" aims to explore the integration of artificial intelligence (AI) algorithms in the field of digital radiography to enhance the assessment of image quality. Digital radiography plays a crucial role in modern healthcare by providing detailed images for diagnostic purposes. However, the quality of these images can vary, impacting the accuracy of diagnoses and treatment decisions. By leveraging AI technology, this research seeks to develop a system that can automatically analyze radiographic images and assess their quality in a more efficient and objective manner. The project will begin with a comprehensive review of existing literature on digital radiography, image quality assessment techniques, and the application of AI in medical imaging. This review will provide a strong theoretical foundation for the research and identify gaps in the current knowledge that the project aims to address. The research methodology will involve the development and implementation of AI algorithms that can analyze various aspects of radiographic images, such as contrast, sharpness, and noise levels. These algorithms will be trained using a dataset of digital radiographs with known quality ratings to enable them to accurately assess the quality of new images. The findings of the study will be presented and discussed in detail in the fourth chapter of the thesis. This chapter will showcase how the AI-based image quality assessment system performs compared to traditional manual methods and highlight its potential benefits for healthcare providers and patients. The discussion will also address any limitations or challenges encountered during the research process and provide recommendations for future studies in this area. In conclusion, the project will offer insights into the potential of AI technology to revolutionize image quality assessment in digital radiography. By automating this process and improving the accuracy and efficiency of image analysis, the proposed system has the potential to enhance the quality of healthcare services and ultimately improve patient outcomes. The research findings will contribute to the growing body of knowledge on the application of AI in medical imaging and pave the way for further advancements in this field.