Statistical Shape and Deformation Analysis
eBook - ePub

Statistical Shape and Deformation Analysis

Methods, Implementation and Applications

  1. 508 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Shape and Deformation Analysis

Methods, Implementation and Applications

About this book

Statistical 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

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Yes, you can access Statistical Shape and Deformation Analysis by Guoyan Zheng,Shuo Li,Gabor Szekely in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2017
Print ISBN
9780128104934
eBook ISBN
9780128104941
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. About the Editors
  7. Preface
  8. Acknowledgment
  9. Part I: Basic Concepts, Methods and Algorithms
  10. Chapter 1: Automated Image Interpretation Using Statistical Shape Models
  11. Chapter 2: Statistical Deformation Model: Theory and Methods
  12. Chapter 3: Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation
  13. Chapter 4: Landmark-Based Statistical Shape Representations
  14. Chapter 5: Probabilistic Morphable Models
  15. Chapter 6: Object Statistics on Curved Manifolds
  16. Chapter 7: Shape Modeling Using Gaussian Process Morphable Models
  17. Chapter 8: Bayesian Statistics in Computational Anatomy
  18. Part II: Open Source Implementation Examples
  19. Chapter 9: Morpho and Rvcg – Shape Analysis in R
  20. Chapter 10: ShapeWorks
  21. Part III: Applications
  22. Chapter 11: Applications of Statistical Deformation Model
  23. Chapter 12: Statistical Shape and Deformation Models Based 2D–3D Reconstruction
  24. Chapter 13: Statistical Shape Analysis for Brain Structures
  25. Chapter 14: Statistical Respiratory Models for Motion Estimation
  26. Chapter 15: Statistical Shape and Appearance Models for Bone Quality Assessment
  27. Chapter 16: Statistical Shape Models of the Heart: Applications to Cardiac Imaging
  28. Index