Description
Handbook of Tractography 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 modelling 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.- 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
Table of Contents
PART I: From Anatomy to Tractography1. The Brain and its Pathways2. Neurobiology of Connections3. Past and Present of Mapping Brain Connections4. From Brownian motion to the brain connectome: My perspective and historical view of Diffusion MRIPART II: Diffusion MRI5. Physics of Diffusion Imaging: Fundamentals6. Diffusion MRI acquisition for tractography: diffusion encoding7. Diffusion MRI acquisition for tractography: Diffusion sequences8. Diffusion MRI acquisition for tractography: Beyond the in vivo adult human brain9. Artifacts and Diffusion MRI Processing10. Single Shell Models: from DTI to HARDI11. Multi-shell Models12. From Diffusion Models to Fiber OrientationsPART III: Tractography Algorithms13. Deterministic Tractography14. Probabilistic Tractography15. Shortest Path Tractography16. Global Tractography17. Machine Learning in Tractography18. Improving Tractography with Multimodal Integration & Anatomical Priors19. Tractography in normal and pathological anatomy : practical considerations20. Tractography VisualizationPART IV: From Streamlines to Tracts21. Dissecting White Matter Pathways : A Neuroanatomical Approach22. Dissecting White Matter Pathways : Automatic Approaches23. Methods and statistics for diffusion MRI tractometry24. Connectivity and Connectomics25. Tractography Validation Part 1: what needs validation, numerical simulations, and phantoms26. Tractography Validation Part 2: The use of anatomical model systems and measures for validation27. Tractography Validation Part 3: Lessons Learned through validation studies28. Current challenges and opportunities for tractographyPART V: Tractography Applications29. Tractography: Applications to Neurodevelopment, Ageing and Plasticity30. Tractography: Linking Behavior with White Matter Networks31. Tractography as a Clinical Tool32. Ex-vivo and Preclinical Tractography: Techniques and Applications at High Field33. "Multicenter Studies and Harmonization: Problems, Solutions, and Open Challenges"PART VI: AppendixA. Vectors and TensorsB. Numerical IntegrationC. Interpolation, Splines and SmoothingD. Spherical Harmonics
