Includes bibliographical references and index.

Overview -- Introduction to brain warping -- Spatial normalization -- Intensity based approaches -- Multiscale/multiresolution representations -- Nonlinear registration and template-driven segmentation -- Bayesian framework for image registration using eigenfunctions -- Numerical methods for high-dimensional warps -- Large deformation fluid diffeomorphisms for landmark and image matching -- ANIMAL: Automatic Nonliner Image Matching and Anatomical Labeling -- Diffusing models and applications -- Linear methods for nonlinear maps: procrustes fits, thin-plate splines, and the biometric analysis of shape variability -- Geometrically based approaches -- Elastic matching: continuum mechanical and probabilistic analysis -- Spatial interpolants for warping -- Global pattern matching -- Crest lines for curve-based warping -- Surface-based spatial normalization using convex hulls -- Elastic registration and inference using oct-tree splines -- Brain templates -- Anatomically driven strategies for high-dimensional brain image warping and pathology detection -- Surface-based analyses of the human cerebral cortex -- Automated global polynomial warping .