UID:
almahu_9948025866902882
Format:
1 online resource (401 p.)
ISBN:
1-281-02521-6
,
9786611025212
,
0-08-052554-7
Content:
Brain Warping is the premier book in the field of brain mapping to cover the mathematics, physics, computer science, and neurobiological issues related to brain spatial transformation and deformation correction. All chapters are organized in a similar fashion, covering the history, theory, and implementation of the specific approach discussed for ease of reading. Each chapter also discusses the computer science implementations, including descriptions of the programs and computer codes used in its execution. Readers of Brain Warping will be able to understand all of the approaches
Note:
Description based upon print version of record.
,
Front Cover; Brain Warping; Copyright Page; Contents; Contributors; Preface; Acknowledgments; SECTION 1: OVERVIEW; Chapter 1. An Introduction to Brain Warping; Overview and Preliminaries; Origins: A Historical Perspective; Warping Strategies; Applications; Visualization; Multidimensional Warping; Summary; References; Chapter 2. Spatial Normalization; Background; Theory; Mathematics; Implementation; Evaluation and Limitations; Future Directions; Conclusions; References; SECTION II: INTENSITY BASED APPROACHES; Chapter 3. Multiscale/Multiresolution Representations; Introduction
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Multiscale BasicsRegistration in a Multiscale Framework; Some Multiscale Registration Schemes; Conclusions; References; Chapter 4. Nonlinear Registration and Template-Driven Segmentation; Introduction; Nonlinear Registration Techniques; Template-Driven Segmentation; Results; Discussion; References; Chapter 5. Bayesian Framework for Image Registration Using Eigenfunctions; Background; Theory; Mathematics; Implementation; Results; Assumptions and Limitations; References; Chapter 6. Numerical Methods for High-Dimensional Warps; Introduction; Broit's Iterative Solution; The Finite Element Method
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Experimental Comparison of MethodsSummary; References; Chapter 7. Large Deformation Fluid Diffeomorphisms for Landmark and Image Matching; Background and History; Theory for Generating Large Deformation Diffeomorphisms; Algorithms and Implementation for Large Deformation Diffeomorphisms; Results and Validation; References; Chapter 8. ANIMAL: Automatic Nonlinear Image Matching and Anatomical Labeling; Introduction; Background; Methods; Conclusion; References; Chapter 9. Diffusing Models and Applications; Introduction; Nonrigid Matching Viewed as an Attraction Problem; Diffusing Models
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Implementations Derived from the Concept of Diffusing ModelsExperiments; Applications; Morphoanalysis; Conclusion; References; Chapter 10. Linear Methods for Nonlinear Maps: Procrustes Fits, Thin-Plate Splines, and the Biometric Analysis of Shape Variability; Overview; Introduction; Some Geometric-Statistical Theory; Implementations and Additional Linearizations; Implications for Other Methodologies; Concluding Comment: The Centrality of Careful Linearizations for Medical Image Analysis; References; SECTION III :GEOMETRICALLY BAS ED APPROACHES
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Chapter 11. Elastic Matching: Continuum Mechanical and Probabilistic AnalysisIntroduction; Anatomy Atlas; Elastic Matching; Bayesian Generalization; Applications; Summary; References; Chapter 12. Spatial Interpolants for Warping; Warping with Scattered Data Interpolation Methods; Distance-Weighted Methods; Radial Basis Functions; Simplex-Based Methods; Natural Neighbor Interpolation; Extended Data; Comparison of the Methods; Warping of Shapes Described by Formulas and Meshes; Warping of Raster Data; References; Chapter 13. Global Pattern Matching; Background/History; Theory; Mathematics
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Implementation
,
English
Additional Edition:
ISBN 0-12-692535-6
Language:
English
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