Deformable Registration Techniques for Thoracic CT Images: An Insight into Medical Image Registration 9811058385, 9789811058387
This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of resp
246 26 6MB
English Pages 135 [138] Year 2020
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
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
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