Overview:A.W. Toga, An Introduction to Brain Warping.J. Ashburner and K. Friston, Spatial Normalization.Intensity Based Approaches:R. Bajcsy, Elastic Deformation Utilizing a Mechanical System.S. Kovacic, Multi-Resolution; Multiscale Approaches.S. Warfield, A. Robatino, J. Dengler, F. Jolesz, and R. Kikinis, Nonlinear Registration and Template Driven Segmentation.G. Christensen, M.I. Miller, and S.C. Joshi, Bayesian Framework for Image Registration Using Eigenfunctions.J. Gee, Finite Element Methods.M. Miller, S.C. Joshi, and G.E. Christensen, Large Deformation Fluid Diffeomorphisms for Landmark and Image Matching.D.L. Collins and A.C. Evans, ANIMAL: Automatic Nonlinear Image Matching and Anatomical Labeling.J.-P. Thirion, Diffusing Models and Applications.F.L. Bookstein, Linear Methods for Nonlinear Maps.H. Mueller and D. Ruprecht, Spatial Interpolants for Warping.M.W. Vannier, Global Pattern Matching.G. Subsol, Crest-Lines for Curve Based Warping.D. Terzopolous, Snakes in Warping and Matching.J.H. Downs III, J.L. Lancaster, and P.T. Fox, Surface Based Spatial Normalization Using Convex Hulls.S. Lavallee, E. Bittar, and R. Szeliski, Elastic Registration and Inference Using Octree-Splines.J.W. Haller, Brain Templates.P. Thompson and A.W. Toga, Anatomically-Driven Strategies for High-Dimensional Brain Image Warping and Pathology Detection.H. Drury, D.C. Van Essen, M. Corbetta, and A. Z. Snyder, Surface-Based Analyses of the Human Cerebral Cortex.R.P. Woods, Automated Global Polynomial Warping.Subject Index.
