Diffusion MRI is a magnetic resonance imaging (MRI) method that produces in vivo images of biological tissues weighted with the local microstructural characteristics of water diffusion, providing an effective means of visualizing functional connectivities in the nervous system. Diffusion MRI: from quantitative measurement to in-vivo neuroanatomy is the first comprehensive reference promoting the understanding of this rapidly evolving and powerful technology and providing the essential handbook for designing, analyzing or interpreting diffusion MR experiments. The book presents diffusion imaging in the context of well-established, classical experimental techniques, so that readers will be able to assess the scope and limitations of the new imaging technology with respect to techniques available previously. All chapters are written by leading international experts and cover methodology, validation of the imaging technology, application of diffusion imaging to the study of variation and development of normal brain anatomy, and disruption to the white matter in neurological disease or psychiatric disorder.
Section I: Introduction to Diffusion MRI
Chapter 1. Introduction to Diffusion MR
1.1 What is Diffusion?
1.2 Magnetic Resonance and Diffusion
1.3 Diffusion in Neural Tissue
1.4 Concluding Remarks
Chapter 2. Pulse Sequences for Diffusion-Weighted MRI
2.1 MRI Pulse Sequence Primer
2.2 Adding Diffusion Weighting to a Pulse Sequence
2.3 Bulk Motion Sensitivity
2.4 Single-Shot Echo Planar Imaging Methods
2.5 Parameter Optimization
2.6 Other DWI Pulse Sequences
Chapter 3. Diffusion Acquisition: Pushing the Boundaries
3.1 The Modular Nature of Diffusion Sequences
3.2 Improving Image Quality
3.3 Improving Diffusion Contrast
Chapter 4. Geometric Distortions in Diffusion MRI
4.2 Echo Planar Imaging
4.3 Where Does the Off-Resonance Field Come From?
4.4 Modified Imaging Techniques that Yield Less-Distorted Images
4.5 Imaging Techniques that Acquire Information about the Off-Resonance Field
4.6 Image Registration-Based Methods for Correcting Distortions
4.7 Recent Work at the FMRIB
Chapter 5. Gaussian Modeling of the Diffusion Signal
5.2 Diffusion Basics
5.3 Basic Modeling and Quantification
5.4 Data Acquisition Strategies
5.6 What is a Model?
Chapter 6. Multiple Fibers: Beyond the Diffusion Tensor
6.2 Multiple Fibers: What’s All the Fuss About?
6.3 Model-Based Approaches
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- © Academic Press 2014
- 26th November 2013
- Academic Press
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