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
255 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
![Deformable Registration Techniques for Thoracic CT Images: An Insight into Medical Image Registration [1st ed.]
9789811058363, 9789811058370](https://ebin.pub/img/200x200/deformable-registration-techniques-for-thoracic-ct-images-an-insight-into-medical-image-registration-1st-ed-9789811058363-9789811058370.jpg)
![Insight into images: principles and practice for segmentation, registration, and image analysis [1 ed.]
9781568812175, 1568812175](https://ebin.pub/img/200x200/insight-into-images-principles-and-practice-for-segmentation-registration-and-image-analysis-1nbsped-9781568812175-1568812175.jpg)
![Mathematical models for registration and applications to medical imaging [1 ed.]
3-540-25029-8](https://ebin.pub/img/200x200/mathematical-models-for-registration-and-applications-to-medical-imaging-1nbsped-3-540-25029-8.jpg)
![Museum Registration Methods [6 ed.]
9781538113110](https://ebin.pub/img/200x200/museum-registration-methods-6nbsped-9781538113110.jpg)
![Statistical image processing techniques for noisy images: an application-oriented approach [1 ed.]
9780306478659, 030647865X](https://ebin.pub/img/200x200/statistical-image-processing-techniques-for-noisy-images-an-application-oriented-approach-1nbsped-9780306478659-030647865x.jpg)
