Handbook of Diffusion MR Tractography : Imaging Methods, Biophysical Models, Algorithms and Applications

Dell'Acqua, Flavio (EDT)/ Descoteaux, Maxime (EDT)/ Leemans, Alexander (EDT)

Academic Press Inc（2024/12発売）

Academic Press Inc（2024/12発売）

• 製本 Hardcover:ハードカバー版／ページ数 750 p.
• 言語 ENG
• 商品コード 9780128188941
• DDC分類 616.807548

Full 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.

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