
Statistical Shape and Deformation Analysis
Methods, Implementation and Applications
- 1st Edition - March 23, 2017
- Imprint: Academic Press
- Authors: Guoyan Zheng, Shuo Li, Gabor Szekely
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 0 4 9 3 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 0 4 9 4 - 1
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropol… Read more

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Request a sales quoteStatistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology.
This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software.
Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice.
- Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis
- Includes implementation examples using open source software
- Covers real-life applications of statistical shape and deformation analysis methods
Researchers in medical imaging, computer scientists working in computer vision, electronic and biomedical engineers. Graduate students in these fields taking a course in Statistical Shape and Deformation Analysis
Part I: Basic Concepts, Methods and Algorithms
Chapter 1: Automated Image Interpretation Using Statistical Shape Models
- Abstract
- Acknowledgements
- 1.1. Introduction
- 1.2. Statistical Shape Analysis
- 1.3. Feature Point Detection Using Shape Model Matching
- 1.4. Fully Automated Image Analysis via Shape Model Matching
- 1.5. Automated Image Interpretation and Its Applications
- 1.6. Limitations of Statistical Shape Models for Image Interpretation
- 1.7. Conclusion
- References
Chapter 2: Statistical Deformation Model: Theory and Methods
- Abstract
- 2.1. Introduction
- 2.2. Deformation Representation
- 2.3. Statistical Approaches
- 2.4. General-Purpose Deformation Models
- 2.5. Biophysics-Based Deformation
- References
Chapter 3: Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation
- Abstract
- 3.1. Introduction
- 3.2. PDM and Shape Correspondence
- 3.3. Landmark Sliding for Shape Correspondence
- 3.4. Groupwise Shape Correspondence
- 3.5. Performance Evaluation of Shape Correspondence
- 3.6. Experiments
- 3.7. Conclusions and 3D Shape Correspondence
- References
Chapter 4: Landmark-Based Statistical Shape Representations
- Abstract
- 4.1. Introduction
- 4.2. Landmark-Based Shape Representation
- 4.3. Shape-Based Landmark Detection
- 4.4. Conclusion
- References
Chapter 5: Probabilistic Morphable Models
- Abstract
- 5.1. Introduction
- 5.2. Methods
- 5.3. Applications and Results
- 5.4. Conclusion
- References
Chapter 6: Object Statistics on Curved Manifolds
- Abstract
- Acknowledgements
- 6.1. Objectives of Object Statistics
- 6.2. Objects Live on Curved Manifolds
- 6.3. Statistical Analysis Background
- 6.4. Advanced Statistical Methods for Manifold Data
- 6.5. Correspondence
- 6.6. How to Compare Representations and Statistical Methods
- 6.7. Results of Classification, Hypothesis Testing, and Probability Distribution Estimation
- 6.8. Conclusions
- References
Chapter 7: Shape Modeling Using Gaussian Process Morphable Models
- Abstract
- 7.1. Introduction
- 7.2. Shape Modeling Using Gaussian Processes
- 7.3. Non-Rigid Registration Using Gaussian Process Priors
- 7.4. Case Study: Building a Statistical Shape Model of the Skull
- 7.5. Modeling and Analyzing Pathologies
- 7.6. Conclusion
- Appendix 7.A.
- References
Chapter 8: Bayesian Statistics in Computational Anatomy
- Abstract
- 8.1. Introduction
- 8.2. Parametric Bayesian Statistics
- 8.3. Nonparametric Bayesian Statistics
- 8.4. Conclusions and Open Problems
- References
Part II: Open Source Implementation Examples
Chapter 9: Morpho and Rvcg – Shape Analysis in R
- Abstract
- 9.1. Introduction
- 9.2. Preliminaries and Installation
- 9.3. Landmark Based Shape Analysis with Morpho
- 9.4. Manipulations on Triangular Meshes Using Rvcg (and Morpho)
- 9.5. Beyond CRAN
- 9.6. Final Remarks
- References
Chapter 10: ShapeWorks
- Abstract
- 10.1. Introducing ShapeWorks
- 10.2. Particle-Based Modeling
- 10.3. PBM Extensions
- 10.4. ShapeWorks Software Implementation and Workflow
- 10.5. ShapeWorks in Biomedical Applications
- 10.6. Conclusions and Future Work
- References
Part III: Applications
Chapter 11: Applications of Statistical Deformation Model
- Abstract
- 11.1. Image-Guided Prostate Intervention
- 11.2. Whole Heart Segmentation
- References
Chapter 12: Statistical Shape and Deformation Models Based 2D–3D Reconstruction
- Abstract
- 12.1. Introduction
- 12.2. Statistical Shape Model Based 2D–3D Reconstruction and Its Application in THA
- 12.3. Statistical Deformation Model Based 2D–3D Reconstruction
- 12.4. Final Remarks
- References
Chapter 13: Statistical Shape Analysis for Brain Structures
- Abstract
- Acknowledgments
- 13.1. Introduction
- 13.2. Surface Modeling and Registration
- 13.3. Statistical Inference on the Surface
- 13.4. An Example Application
- 13.5. Conclusions
- References
Chapter 14: Statistical Respiratory Models for Motion Estimation
- Abstract
- Acknowledgments
- 14.1. Background
- 14.2. 4-Dimensional MR Imaging
- 14.3. Motion Model Building
- 14.4. Establishment of Correspondence
- 14.5. Statistical Motion Modeling
- 14.6. Bayesian Reconstruction from Sparse Data
- 14.7. Applications of Population-Based Statistical Motion Models to Motion Reconstruction
- 14.8. Reconstruction by Regression
- 14.9. Conclusion
- References
Chapter 15: Statistical Shape and Appearance Models for Bone Quality Assessment
- Abstract
- 15.1. Introduction
- 15.2. Fundamentals of Statistical Shape and Appearance Models
- 15.3. Approaches for Bone Quality Assessment
- 15.4. Discussion and Conclusion
- References
Chapter 16: Statistical Shape Models of the Heart: Applications to Cardiac Imaging
- Abstract
- 16.1. Introduction
- 16.2. The heart
- 16.3. Cardiac Imaging Techniques
- 16.4. Statistical Shape Models
- 16.5. Discussion
- References
- Edition: 1
- Published: March 23, 2017
- No. of pages (Paperback): 508
- No. of pages (eBook): 508
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128104934
- eBook ISBN: 9780128104941
GZ
Guoyan Zheng
SL
Shuo Li
GS