Brain Warping Book

	Contributors
	Preface
	Acknowledgments
Sect. I	Overview
1	An Introduction to Brain Warping
2	Spatial Normalization
Sect. II	Intensity Based Approaches
3	Multiscale/Multiresolution Representations
4	Nonlinear Registration and Template-Driven Segmentation
5	Bayesian Framework for Image Registration Using Eigenfunctions
6	Numerical Methods for High-Dimensional Warps
7	Large Deformation Fluid Diffeomorphisms for Landmark and Image Matching
8	ANIMAL: Automatic Nonlinear Image Matching and Anatomical Labeling
9	Diffusing Models and Applications
10	Linear Methods for Nonlinear Maps: Procrustes Fits, Thin-Plate Splines, and the Biometric Analysis of Shape Variability
Sect. III	Geometrically Based Approaches
11	Elastic Matching: Continuum Mechanical and Probabilistic Analysis
12	Spatial Interpolants for Warping
13	Global Pattern Matching
14	Crest Lines for Curve-Based Warping
15	Surface-Based Spatial Normalization Using Convex Hulls
16	Elastic Registration and Inference Using Oct-Tree Splines
17	Brain Templates
18	Anatomically Driven Strategies for High-Dimensional Brain Image Warping and Pathology Detection
19	Surface-Based Analyses of the Human Cerebral Cortex
20	Automated Global Polynomial Warping
	Index