| Description |
1 online resource : illustrations |
| Series |
Chapman & Hall/CRC handbooks of modern statistical methods |
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Chapman & Hall/CRC handbooks of modern statistical methods.
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| Contents |
Cover; Half Title; Title Page; Copyright Page; Contents; List of Figures; List of Tables; Preface; Contributors; I: Overview; 1 Overview of the Handbook; 1.1 Introduction; 1.2 A Brief History of Neuroimaging; 1.3 Modalities; 1.4 Statistical Methods; 1.4.1 Preprocessing; 1.4.2 Methods in Structural Neuroimaging; 1.4.3 Localizing Areas of Activation; 1.4.4 Brain Connectivity; 1.4.5 Analysis of Electroencephalograms; 1.4.6 Multi-Modal Analysis; 1.5 Additional Topics; 1.5.1 Meta-Analysis; 1.5.2 Experimental Design in fMRI; 1.5.3 Experimental Design in EEG; 1.5.4 Imaging Genetics; 1.6 Conclusions |
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3.1 Introduction3.2 Image Acquisition; 3.2.1 MRI Physics; 3.2.2 Image Reconstruction; 3.2.3 MRI Sequences; 3.2.4 MRI Artifacts; 3.3 Multi-Subject MRI; 3.3.1 Registration; 3.3.1.1 Volumetric Registration; 3.3.1.2 Surface-Based Registration; 3.3.2 Segmentation; 3.3.2.1 Foreground from Background Segmentation; 3.3.2.2 Brain Tissue Segmentation; 3.3.3 Templates and Atlases; 3.3.4 Morphometry; 3.3.4.1 Subcortical Volumes; 3.3.4.2 Voxel-Based Morphometry; 3.3.4.3 Deformation- and Tensor-Based Morphometry; 3.3.4.4 Surface-Based Measures; 3.3.4.5 Other Morphometric Measures |
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3.3.5 Statistical Analyses3.3.5.1 Statistical Parametric Maps; 3.4 Miscellaneous Topics; 3.4.1 Structural Integrity and Tumor Detection; 3.4.2 Anatomical References for Functional Imaging; 3.4.3 Multi-Center Studies; 3.4.4 Imaging Genetics; 3.5 Glossary of MRI Terms; Bibliography; 4 Diffusion Magnetic Resonance Imaging (dMRI); 4.1 Introduction to Diffusion MRI; 4.1.1 Diffusion Weighted Imaging (DWI); 4.1.1.1 Diffusion Gradient Sequence; 4.1.1.2 Free Diffusion; 4.1.1.3 Restricted Diffusion; 4.1.2 Diffusion Tensor Imaging (DTI); 4.1.2.1 Scalar Indices and Eigenvectors of Diffusion Tensor |
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4.2 High Angular Resolution Diffusion Imaging (HARDI)4.2.1 Generalization of Diffusion Tensor Imaging; 4.2.1.1 Mixture of Tensor Model; 4.2.1.2 Generalized DTI (GDTI); 4.2.1.3 High-Order Tensor Model, ADC-Based Model; 4.2.2 Diffusion Spectrum Imaging (DSI); 4.2.3 Hybrid Diffusion Imaging (HYDI); 4.2.4 Q-Ball Imaging (QBI); 4.2.4.1 Original Q-Ball Imaging; 4.2.4.2 Exact Q-Ball Imaging; 4.2.5 Diffusion Orientation Transform (DOT); 4.2.6 Spherical Deconvolution (SD); 4.2.7 Diffusion Propagator Imaging (DPI); 4.2.8 Simple Harmonic Oscillator Reconstruction and Estimation (SHORE) |
| Summary |
This work explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph. D. students in statistics, biostatistics, psychology, neuroscience, and computer science |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Brain -- Imaging -- Statistical methods
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Brain mapping -- Data processing
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Biometry.
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Biometry
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biometrics.
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SCIENCE -- Life Sciences -- Neuroscience.
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Biometry.
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| Form |
Electronic book
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| Author |
Ombao, Hernando, editor
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Lindquist, Martin, editor
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Thompson, Wesley, editor
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Aston, John, editor
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| ISBN |
9781482220988 |
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1482220989 |
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9781315356204 |
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9781315337142 |
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9781315373652 |
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1315356201 |
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1315337142 |
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1315373653 |
|
9781315356204 |
|
9781315337142 |
|
9781315373652 |
|
