Handbook of Diffusion MR Tractography

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).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). 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

• 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