Handbook of Diffusion MR Tractography Imaging Methods, Biophysical Models, Algorithms and Applications
Coordonnateurs : Acqua Dell, Descoteaux Maxime, Leemans Alexander
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.
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
FDA is coauthor of more than 60 papers and his methods have been successfully applied in a broad range of tractography studies ranging from the first visualisation of the superior longitudinal fasciculus in humans (Thiebaut De Schotten*, Dell'Acqua* et al., Nat. Neuroscience. 2011) to application on autism (Catani et al. Brain 2016), stroke (Forkel et al. Brain 2014) and neurosurgery (Vergani et al. Neurosurgery 2016). His methods have been fundamental also in major debates on new neuroanatomical theories (Catani, Body & Dell’Acqua, Science 2013) and, more recently, FDA contributed in the critical evaluation of the current challenges of modern tractography and structural connectivity methods (Maier-Hein et al. Nature Communications 2017).
FDA is currently the lead of the diffusion imaging analysis team for the largest European multi-centre study on autism (EU-AIMS) and is collaborating with research institutes across Europe and US. He is a member and co-founder of the NATBRAINLAB (www.natbrainlab.com) an interdepartmental laboratory dedicated to the study of human neuroanatomy and tractography research. Since 2014, he has been the organiser of the educational courses on Diffusion Imaging for the Organisation for Human Brain Mapping (OHBM) conferences. He is also an active member of the International Society of Magnetic Resonance in Medicine (ISMRM) where he has lectured at the morning educational courses and past international workshops (Lisbon 2016 and Ljubljana 2017) on tractography m
- 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
Date de parution : 09-2024
Ouvrage de 525 p.
19x23.3 cm