內容註: |
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. |