Details

Autor(en) / Beteiligte

• Johansen-Berg, Heidi,
• Behrens, Timothy E. J.,

Titel

Diffusion MRI : from quantitative measurement to in-vivo neuroanatomy

Ist Teil von

• Gale eBooks

Auflage

2nd ed

Ort / Verlag

London : Academic Press,

Erscheinungsjahr

2014

Link zum Volltext

• Elsevier Books AutoHoldings

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references and index.
• Front Cover; Diffusion MRI: From Quantitative Measurementto In-vivo Neuroanatomy; Copyright; Contents; Foreword; References; Contributors; 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; Acknowledgments; References; 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 OPTIMIZATION2.6 OTHER DWI PULSE SEQUENCES; References; 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; Acknowledgments; References; 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 DISTORTIONS4.7 RECENT WORK AT THE FMRIB; References; 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?; References; 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 NONPARAMETRIC ALGORITHMS; 6.5 DERIVED INFORMATION; 6.6 APPLICATIONS AND EXPLOITATION; 6.7 SUMMARY
• APPENDIX A. QBALL IMPLEMENTATIONAPPENDIX B. SPHERICAL DECONVOLUTION IMPLEMENTATION; Acknowledgments; References; Section II - DIFFUSION MRI FOR QUANTITATIVE MEASUREMENT; Chapter 7 - White Matter Structure: A Microscopist's View; 7.1 INTRODUCTION; 7.2 CELLULAR COMPONENTS OF THE CNS WHITE MATTER; 7.3 WATER CONTENT OF WHITE MATTER; 7.4 CHANGES IN WHITE MATTER DUE TO ABNORMALITIES IN MYELIN; 7.5 THE ULTRASTRUCTURAL EFFECTS OF DEMYELINATION AND AXONAL DAMAGE IN HUMANS; 7.6 PLASTICITY IN WHITE MATTER; 7.7 SUMMARY; Acknowledgments; References; Chapter 8 - The Biological Basis of Diffusion Anisotropy
• 8.1 UTILITY OF MICROSCOPIC WATER MOTION8.2 RELATIONSHIP OF WATER DIFFUSION ANISOTROPY TO TISSUE MICROSTRUCTURE; 8.3 ROLE OF THE APPARENT DIFFUSION COEFFICIENTS FOR INTERPRETING ANISOTROPY; 8.4 ISSUES RELATED TO DIFFUSION ANISOTROPY MEASUREMENTS IN TISSUE BY MRI; 8.5 SUMMARY; Acknowledgments; References; Chapter 9 - Inferring Microstructural Information of White Matter from Diffusion MRI; 9.1 THE MORPHOLOGICAL FEATURES OF WHITE MATTER; 9.2 DIFFUSION MRI AND TISSUE MICROSTRUCTURE; 9.3 DIFFUSION TENSOR IMAGING-A TOOL FOR WHITE MATTER MICROSTRUCTURAL MAPPING
• 9.4 DIFFUSION TENSOR IMAGING-A TOOL FOR WHITE MATTER MICROSTRUCTURAL MAPPING?
• 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 intro
• English
• Description based on online resource; title from PDF title page (ebrary, viewed December 23, 2013).