Diffusion MRI

2nd Edition

From Quantitative Measurement to In vivo Neuroanatomy

Editors: Heidi Johansen-Berg Timothy E.J. Behrens
Hardcover ISBN: 9780123964601
eBook ISBN: 9780124055094
Imprint: Academic Press
Published Date: 26th November 2013
Page Count: 632
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Diffusion MRI remains the most comprehensive reference for understanding this rapidly evolving and powerful technology and is an essential handbook for designing, analyzing, and interpreting diffusion MR experiments.

Diffusion imaging provides a unique window on human brain anatomy. This non-invasive technique continues to grow in popularity as a way to study brain pathways that could never before be investigated in vivo.

This book covers the fundamental theory of diffusion imaging, discusses its most promising applications to basic and clinical neuroscience, and introduces cutting-edge methodological developments that will shape the field in coming years. Written by leading experts in the field, it places the exciting new results emerging from diffusion imaging in the context of classical anatomical techniques to show where diffusion studies might offer unique insights and where potential limitations lie.

Key Features

  • Fully revised and updated edition of the first comprehensive reference on a powerful technique in brain imaging
  • Covers all aspects of a diffusion MRI study from acquisition through analysis to interpretation, and from fundamental theory to cutting-edge developments
  • New chapters covering connectomics, advanced diffusion acquisition, artifact removal, and applications to the neonatal brain
  • Provides practical advice on running an experiment
  • Includes discussion of applications in psychiatry, neurology, neurosurgery, and basic neuroscience
  • Full color throughout


Neuroscientists interested in the study of connections in the brain, brain imaging, within Cognitive Neuroscience, Neuroscience, Radiology, Medical Physics and adjacent areas.

Table of Contents




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

3.4 Conclusions


Chapter 4. Geometric Distortions in Diffusion MRI


4.1 Introduction

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


5.1 Introduction

5.2 Diffusion Basics

5.3 Basic Modeling and Quantification

5.4 Data Acquisition Strategies

5.5 Artifacts

5.6 What is a Model?


Chapter 6. Multiple Fibers: Beyond the Diffusion Tensor



6.1 Introduction

6.2 Multiple Fibers: What’s All the Fuss About?

6.3 Model-Based Approaches

6.4 N


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© Academic Press 2014
Academic Press
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About the Editor

Heidi Johansen-Berg

Affiliations and Expertise

Oxford Centre for Functional MRI of the Brain (FMRIB), Department of Clinical Neurology, University of Oxford, UK

Timothy E.J. Behrens

Affiliations and Expertise

Department of Experimental Psychology, University of Oxford; Centre for Functional MRI of the Brain (FMRIB), UK


"This text outlines the theory and applications of diffusion magnetic resonance imaging (MRI). In 25 chapters, radiologists, neuroscientists, psychologists, psychiatrists, and others from North America, Europe, and Israel outline the methods underlying diffusion imaging; the use of diffusion MRI for quantitative measurement and in understanding neurological disorders…"--ProtoView.com, April 2014