Deformable Registration Techniques for Thoracic CT Images: An Insight into Medical Image Registration

✍ Scribed by Ali Imam Abidi, S.K. Singh

• Publisher: Springer Singapore
• Year: 2020
• Tongue: English
• Leaves: 138
• Category: Library

✦ Synopsis

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.

✦ Table of Contents

Contents
About the Authors
1 Introduction
1.1 Background
1.2 Motivation
1.3 Objective of the Book
1.4 Contributions
1.5 Organization of the Book
2 Theoretical Background
2.1 Introduction
2.2 Morphological Classification of Images
2.2.1 Rigid Images
2.2.2 Deformable Images
2.3 Geometric Deformation Models: A Survey
2.4 Classification of Registration Methodology Used
2.4.1 Feature-Based Registration
2.4.2 Intensity-Based Registration
2.5 Feature Detection/Description Methods
2.6 Database Employed
2.7 Accuracy and Similarity Measures Used
2.7.1 Target Registration Error
2.7.2 Signal-to-Noise Ratio (SNR)
2.7.3 Peak Signal-to-Noise Ratio (PSNR)
2.7.4 Structural Similarity Index (SSIM)
2.7.5 Normalized Cross-Correlation (NCC)
3 A Moving Least Square Based Framework for Thoracic CT Image Registration
3.1 Introduction
3.2 Background
3.3 Method
3.3.1 Preparation
3.3.2 Proposed Methodology
3.4 Results and Discussion
3.5 Conclusion
4 A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences
4.1 Introduction
4.2 Background
4.3 Method
4.3.1 Preparation
4.3.2 Proposed Methodology
4.4 Results and Discussion
4.5 Conclusion
5 Deformable Thoracic CT Images Sequence Registration Using Strain Energy Minimization
5.1 Introduction
5.2 Background
5.3 Method
5.3.1 Preparation
5.3.2 Proposed Methodology
5.4 Results and Discussion
5.5 Conclusion
6 Conclusion and Future Work
6.1 Concluding Remarks
6.2 Scope for Future Work
Appendix A Geometrical Deformation Models for Elastic Images
Appendix B
Appendix C
Appendix D
Appendix E
References