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Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropol… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
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
Chapter 2: Statistical Deformation Model: Theory and Methods
Chapter 3: Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation
Chapter 4: Landmark-Based Statistical Shape Representations
Chapter 5: Probabilistic Morphable Models
Chapter 6: Object Statistics on Curved Manifolds
Chapter 7: Shape Modeling Using Gaussian Process Morphable Models
Chapter 8: Bayesian Statistics in Computational Anatomy
Part II: Open Source Implementation Examples
Chapter 9: Morpho and Rvcg – Shape Analysis in R
Chapter 10: ShapeWorks
Part III: Applications
Chapter 11: Applications of Statistical Deformation Model
Chapter 12: Statistical Shape and Deformation Models Based 2D–3D Reconstruction
Chapter 13: Statistical Shape Analysis for Brain Structures
Chapter 14: Statistical Respiratory Models for Motion Estimation
Chapter 15: Statistical Shape and Appearance Models for Bone Quality Assessment
Chapter 16: Statistical Shape Models of the Heart: Applications to Cardiac Imaging
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