.

0 (hodnocen0 x )

BK

First edition

Oxford : Oxford University Press, 2018

xvii, 258 stran : ilustrace (převážně barevné) ; 24 cm

ISBN 978-0-19-881630-0 (brožováno)

Oxford neuroimaging primers

Obsahuje bibliografické odkazy a rejstřík

001658093

1 Introduction 1 // 1.1 Main MRI modalities and analysis techniques 2 // 1.2 Walk-through of a typical study 9 // Example Box: Look at your data! 11 // Example Box: Keep looking at your data! 13 // Example Box: Think through your analysis early 14 // 1.3 MR physics and scanner hardware 15 // Box 1.1: B0 field inhomogeneities 17 // Box 1.2: Resonance frequency 17 // Box 1.3: RF inhomogeneity and bias fields 18 // Box 1.4: Head coils and accelerated imaging 19 // Box 1.5: Gradient fields 20 // 1.4 Overview 21 // Summary 22 // Further reading 22 // 2 MRI Modalities for Neuroimaging 23 // 2.1 Image fundamentals 23 // Box 2.1: Image formats 26 // 2.2 Structural MRI 27 // Example Box: SNR, resolution, and acquisition time trade-offs 33 // Example Box: MRI artifacts 39 // Summary 42 // Further reading 43 // 2.3 Diffusion MRI 43 // Example Box: Diffusion signal in different tissues 48 // Box 2.2: HARDI 49 // Example Box: Diffusion signal in different tissues (revisited) 50 // Example Box: Viewing diffusion images 51 // Summary 55 // Further reading 56 // 2.4 Functional MRI 56 // Box 2.3: T2* Relaxation and BOLD 58 // Summary 68 // Further reading 68 // 2.5 Perfusion MRI 69 // Summary 75 // Further reading 75 // 2.6 Spectroscopy (MRS) 76 // Summary 78 // Further reading 79 // 2.7 Complementary techniques 79 // Summary 83 // Further reading 83 // 3 Overview of MRI Analysis 85 // Group Analysis Box 86 // 3.1 Early stages 89 // Box 3.7: Voxel and world coordinates 91 // Summary 92 // 3.2 Structural pipeline 92 // Example Box: Tissue-type segmentation 96 // Box 3.2: Segmentation of pathological tissue 97 // Example Box: Deep gray matter structure segmentation 99 // Summary 104 // Further reading 104 // 3.3 Diffusion pipeline 105 // Box 3.3: Fieldmap acquisitions 106 // Example Box: Correcting for distortions and artifacts in diffusion images 107 // Box 3.4: Diffusion tensor model 109 //

Example Box: DTI 110 // Example Box: TBSS 112 // Example Box: Tractography 114 // Summary 115 // Further reading 115 // 3.4 Functional pipeline (task and resting state fMRl) 116 // Box 3.5: Motion artifacts 118 // Example Box: Slice timing effects and corrections 120 // Example Box: Aliasing of physiological signals 124 // Example Box: Physiological noise modeling 126 // Example Box: Independent component classification 128 // Example Box: Task fMRI data 133 // Example Box: Resting state fMRI networks 134 // Summary 135 // Further reading 136 // 3.5 Perfusion pipeline 137 // Summary 143 // Further reading 143 // 4 Brain Extraction 145 // 4.1 When it is needed 146 // 4.2 Skull stripping versus cortical modeling 148 // Example Box: Brain extraction 150 // 4.3 Brain masks 150 // Example Box: Brain masks 151 // 4.4 Skull estimation 152 // 4.5 Difficulties and troubleshooting 153 // Example Box: Troubleshooting brain extraction 154 // Summary 154 // Further reading 155 // 5 Registration 157 // 5.1 Spatial transformations 157 // Box 5.1: Transformation parameters, coordinates, and conventions 160 // Example Box: Spatial Transformations 167 // 5.2 Cost functions 167 // Box 5.2: Similarity functions 168 // Box 5.3: Intensity models for cost functions 169 // Example Box: Registration 171 // 5.3 Resampling and interpolation // Box 5.4: Symmetric registration and halfway spaces // 5.4 Case studies // Example Box: Evaluating registrations Example Box: Registration case studies // 5.5 Standard space and templates // 5.6 Atlases // Example Box: Probabilistic atlas construction // 5.7 Atlas-based segmentation // Summary // Further reading // 6 Motion and Distortion Correction // 6.1 Motion correction // 6.2 Distortion correction // Box 6.7: Gradient-echo fieldmap acquisitions // Box 6.2: Calculating distortion from gradient-echo fieldmaps // Box 6.3: Intensity model for BBR //

Box 6.4: Low contrast EPI and registration // Box 6.5: Combining fieldmap-based distortion correction and registration // Example Box: Distortion correction with fieldmaps // Example Box: Distortion correction with blip-up-blip-down data // Summary // Further reading // 7 Surface-Based Analysis // 7.1 Cortical surface extraction // 7.2 Inflated, spherical, and flattened surfaces // 7.3 Registration of surface data // 7.4 Surface-based fMRI analysis // Summary // Further reading // 8 Epilogue // 8.1 Planning // 8.2 Analysis // 8.3 Interpretation 237 // 8.4 Next steps 237 // Appendix A: Short Introduction to Brain Anatomy for Neuroimaging 239 // A.1 Brain cells and tissues 239 // A.2 Navigating around brain images 241 // A.3 Brain structures 245 // Example Box: Learning anatomy with digital atlases 247 // Summary 248 // Further reading 248 // Index 251