Description
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
Table of Contents
Part I: Basic Concepts, Methods and Algorithms1. Automated Image Interpretation Using Statistical Shape Models2. Statistical Deformation Model: Theory and Methods3. Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation4. Landmark-Based Statistical Shape Representations5. Probabilistic Morphable Models6. Object Statistics on Curved Manifolds7. Shape Modeling Using Gaussian Process Morphable Models8. Bayesian Statistics in Computational AnatomyPart II: Open Source Implementation Examples9. Morpho and Rvcg – Shape Analysis in R10. ShapeWorksPart III: Applications11. Applications of Statistical Deformation Model12. Statistical Shape and Deformation Models Based 2D–3D Reconstruction13. Statistical Shape Analysis for Brain Structures14. Statistical Respiratory Models for Motion Estimation15. Statistical Shape and Appearance Models for Bone Quality Assessment16. Statistical Shape Models of the Heart: Applications to Cardiac Imaging
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