تحلیل شکل و تغییر شکل آماری: روش‌ها، پیاده‌سازی و کاربردها (بینایی کامپیوتری و شناسایی الگو)

__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. Content: Front Matter,Copyright,List of Contributors,About the Editors,Preface,AcknowledgmentEntitled to full textPart I: Basic Concepts, Methods and AlgorithmsChapter 1 - Automated Image Interpretation Using Statistical Shape Models, Pages 3-32 Chapter 2 - Statistical Deformation Model: Theory and Methods, Pages 33-65 Chapter 3 - Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation, Pages 67-87 Chapter 4 - Landmark-Based Statistical Shape Representations, Pages 89-113 Chapter 5 - Probabilistic Morphable Models, Pages 115-135 Chapter 6 - Object Statistics on Curved Manifolds, Pages 137-164 Chapter 7 - Shape Modeling Using Gaussian Process Morphable Models, Pages 165-191 Chapter 8 - Bayesian Statistics in Computational Anatomy, Pages 193-214 Chapter 9 - Morpho and Rvcg – Shape Analysis in R: R-Packages for Geometric Morphometrics, Shape Analysis and Surface Manipulations, Pages 217-256 Chapter 10 - ShapeWorks: Particle-Based Shape Correspondence and Visualization Software, Pages 257-298 Chapter 11 - Applications of Statistical Deformation Model, Pages 301-327 Chapter 12 - Statistical Shape and Deformation Models Based 2D–3D Reconstruction, Pages 329-349 Chapter 13 - Statistical Shape Analysis for Brain Structures, Pages 351-378 Chapter 14 - Statistical Respiratory Models for Motion Estimation, Pages 379-407 Chapter 15 - Statistical Shape and Appearance Models for Bone Quality Assessment, Pages 409-443 Chapter 16 - Statistical Shape Models of the Heart: Applications to Cardiac Imaging, Pages 445-480 Index, Pages 481-488

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