Statistical Shape and Deformation Analysis: Methods, Implementation and Applications

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 analysisIncludes implementation examples using open source software Covers real-life applications of statistical shape and deformation analysis methods

Part I: Basic Concepts, Methods and Algorithms 1. Automated Image Interpretation Using Statistical Shape Models 2. Statistical Deformation Model: Theory and Methods 3. Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation 4. Landmark-Based Statistical Shape Representations 5. Probabilistic Morphable Models 6. Object Statistics on Curved Manifolds 7. Shape Modeling Using Gaussian Process Morphable Models 8. Bayesian Statistics in Computational Anatomy

Part II: Open Source Implementation Examples 9. Morpho and Rvcg – Shape Analysis in R 10. ShapeWorks

Part III: Applications 11. Applications of Statistical Deformation Model 12. Statistical Shape and Deformation Models Based 2D–3D Reconstruction 13. Statistical Shape Analysis for Brain Structures 14. Statistical Respiratory Models for Motion Estimation 15. Statistical Shape and Appearance Models for Bone Quality Assessment 16. Statistical Shape Models of the Heart: Applications to Cardiac Imaging