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Handbook of Diffusion MR Tractography

Imaging Methods, Biophysical Models, Algorithms and Applications

  • 1st Edition - November 19, 2024
  • Latest edition
  • Editors: Flavio Dell'Acqua, Maxime Descoteaux, Alexander Leemans
  • Language: English

Handbook of Diffusion MR Tractography: Imaging Methods, Biophysical Models, Algorithms and Applications presents methods and applications of MR diffusion tractography, providing… Read more

Description

Handbook of Diffusion MR Tractography: Imaging Methods, Biophysical Models, Algorithms and Applications presents methods and applications of MR diffusion tractography, providing deep insights into the theory and implementation of existing tractography techniques and offering practical advice on how to apply diffusion tractography to research projects and clinical applications. Starting from the design of MR acquisition protocols optimized for tractography, the book follows a pipeline approach to explain the main methods behind diffusion modeling and tractography, including advanced analysis of tractography data and connectomics.

An extensive section of the book is devoted to the description of tractography applications in research and clinical settings to give a complete picture of tractography practice today. By focusing on technology, models, and applications, this handbook will be an indispensable reference for researchers and students with backgrounds in computer science, mathematics, physics, neuroscience, and medical science.

Key features

  • Provides a unique reference covering the whole field of MRI diffusion tractography
  • Includes in-depth descriptions of the latest research and current state-of-the-art of methods available in the field of diffusion tractography
  • Present a step-by-step pipeline approach, from setting up MRI data acquisition to the analysis of large-scale tractography datasets

Readership

Researchers and graduate students working in diffusion MRI Trachtography with a background in computer science, biomedical engineering, Physics and mathematics, neuroscientists and clinicians

Table of contents

PART I: From Anatomy to Tractography

1. The Brain and its Pathways

2. Neurobiology of Connections

3. Past and Present of Mapping Brain Connections

4. From Brownian motion to the brain connectome: My perspective and historical view of Diffusion MRI

PART II: Diffusion MRI

5. Physics of Diffusion Imaging: Fundamentals

6. Diffusion MRI acquisition for tractography: diffusion encoding

7. Diffusion MRI acquisition for tractography: Diffusion sequences

8. Diffusion MRI acquisition for tractography: Beyond the in vivo adult human brain

9. Artifacts and Diffusion MRI Processing

10. Single Shell Models: from DTI to HARDI

11. Multi-shell Models

12. From Diffusion Models to Fiber Orientations

PART III: Tractography Algorithms

13. Deterministic Tractography

14. Probabilistic Tractography

15. Shortest Path Tractography

16. Global Tractography

17. Machine Learning in Tractography

18. Improving Tractography with Multimodal Integration & Anatomical Priors

19. Tractography in normal and pathological anatomy : practical considerations

20. Tractography Visualization

PART IV: From Streamlines to Tracts

21. Dissecting White Matter Pathways : A Neuroanatomical Approach

22. Dissecting White Matter Pathways : Automatic Approaches

23. Methods and statistics for diffusion MRI tractometry

24. Connectivity and Connectomics

25. Tractography Validation Part 1: what needs validation, numerical simulations, and phantoms

26. Tractography Validation Part 2: The use of anatomical model systems and measures for validation

27. Tractography Validation Part 3: Lessons Learned through validation studies

28. Current challenges and opportunities for tractography

PART V: Tractography Applications

29. Tractography: Applications to Neurodevelopment, Ageing and Plasticity

30. Tractography: Linking Behavior with White Matter Networks

31. Tractography as a Clinical Tool

32. Ex-vivo and Preclinical Tractography: Techniques and Applications at High Field

33. "Multicenter Studies and Harmonization: Problems, Solutions, and Open Challenges"

PART VI: Appendix
A. Vectors and Tensors
B. Numerical Integration
C. Interpolation, Splines and Smoothing
D. Spherical Harmonics

Product details

  • Edition: 1
  • Latest edition
  • Published: December 10, 2024
  • Language: English

About the editors

FD

Flavio Dell'Acqua

Flavio Dell'Acqua is Associate Professor and Reader in Translational Neuroimaging at the Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK. A biomedical engineer and neuroscientist, Dr. Dell'Acqua's research interests span MR physics and medical image analysis. His work focuses on developing and applying advanced diffusion imaging and tractography methods for neuroscience, psychiatric, and clinical research. Dr. Dell'Acqua has co-authored over 100 papers, and his methods have been successfully applied in numerous tractography studies published in high-impact journals including Science, Nature Neuroscience, Nature Communication, Brain, and PNAS. He is a co-founder of the NatBrainLab, a multidisciplinary laboratory dedicated to the study of human neuroanatomy and tractography research. Committed to education in the field, Dr. Dell'Acqua has led educational courses on Diffusion Imaging for the Organization for Human Brain Mapping (OHBM) for multiple years. He is an active member of the International Society for Magnetic Resonance in Medicine (ISMRM) where he has lectured in educational courses, workshops and has served on the Diffusion Study Group committee. In 2023, he was a co-founder of the International Society for Tractography (IST).

Affiliations and expertise
Associate Professor in Translational Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK

MD

Maxime Descoteaux

The investigator Maxime Descôteaux is a member of the Medical Imaging Axis of the Centre de recherche du CHUS, professor of the Computer Science Department, Faculty of Science, Université de Sherbrooke, Director of the Imaging and Visualization Platform (PAVI, pavi.dinf.usherbrooke.ca) and Director of the Sherbrooke Connectivity Imaging Laboratory (SCIL, scil.dinf.usherbrooke.ca). He is a leader in diffusion Magnetic Resonance Imaging (MRI) acquisition, processing and visualization to infer white matter connectivity of the brain. The goal of his research is to develop state-of-the-art fiber tractography tools to better understand functional coupling between cortical and sub-cortical regions of the brain and study connectivity properties of white matter to characterize fiber integrity. This field is now named ‘’connectomics’’. His most important contributions are in the fields of fundamental diffusion MRI processing and white matter fiber tract reconstruction and visualization. Recently, his tools have made the transfer to clinical applications for neurosurgical planning and interventions. He is a member of the editorial board of several important journals in neuroscience and co-founder of the company Imeka Solution Inc (www.imeka.ca).
Affiliations and expertise
Professor, Department of Computer Science, Faculty of Science, Université de Sherbrooke, Sherbrooke, Canada; Director, Imaging and Visualization Platform; Director, Sherbrooke Connectivity Imaging Laboratory

AL

Alexander Leemans

Alexander Leemans is a physicist who received his Ph.D. in 2006 at the University of Antwerp, Belgium. From 2007 to 2009, he worked as a postdoctoral researcher at the Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Wales, United Kingdom. In 2009, he joined the Image Sciences Institute (ISI), University Medical Center Utrecht, the Netherlands, where he currently holds a tenured faculty position as Associate Professor. His current research interests include modeling, processing, visualizing and analyzing diffusion MRI data for investigating microstructural and architectural tissue organization. He heads the PROVIDI Lab and is the developer of ExploreDTI, which is a graphical toolbox for investigating diffusion MRI data
Affiliations and expertise
UMC Utrecht, Utrecht, The Netherlands

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