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Table of Contents

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

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

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Validation of Results

Chapter 4: Discussion of Findings
4.1 Analysis of Inverse Problems in Medical Imaging
4.2 Evaluation of Regularization Techniques
4.3 Comparison of Different Imaging Modalities

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

Brief Overview of Thesis

The thesis on “Inverse Problems and Regularization Techniques in Medical Imaging in Biomedical Engineering in Imaging Science” aims to explore the challenges and opportunities in the field of medical imaging, with a focus on inverse problems and regularization techniques. The study will investigate the application of advanced computational methods to reconstruct high-quality images from incomplete or noisy data, and evaluate the effectiveness of different regularization techniques in improving image quality and accuracy. The research will contribute to the development of innovative solutions for medical imaging applications, with potential impact on clinical diagnosis, treatment planning, and patient care. The findings of the study will provide valuable insights for researchers, practitioners, and policymakers in the field of biomedical engineering and imaging science.

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