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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Objectives of the Study
1.4 Limitations of the Study
1.5 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Medical Imaging in Biomedical Engineering
2.2 Inverse Problems in Medical Imaging
2.3 Regularization Techniques in Medical Imaging

Chapter 3: Research Methodology
3.1 Data Collection Methods
3.2 Data Analysis Methods
3.3 Research Design

Chapter 4: Discussion of Findings
4.1 Analysis of Results
4.2 Interpretation of Findings
4.3 Comparison with Existing Literature

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Implications of the Study
5.3 Recommendations for Future Research

Brief Overview

In recent years, medical imaging has become an essential tool in diagnosing and treating various medical conditions. However, the process of reconstructing images from raw data can be challenging due to the presence of noise and other factors that can lead to inaccuracies in the final image. This thesis focuses on the use of inverse problems and regularization techniques in medical imaging in biomedical engineering to improve the quality and accuracy of reconstructed images.

Chapter 1 provides an introduction to the topic, outlining the background, problem statement, objectives, limitations, and scope of the study. Chapter 2 reviews the existing literature on medical imaging, inverse problems, and regularization techniques. Chapter 3 discusses the research methodology, including data collection and analysis methods. Chapter 4 presents the findings of the study, analyzing and interpreting the results. Finally, Chapter 5 summarizes the conclusions and provides recommendations for future research in this area.

Overall, this thesis aims to contribute to the advancement of medical imaging technology by exploring the use of inverse problems and regularization techniques to enhance image quality and accuracy in biomedical engineering applications.

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