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Handbook of Diffusion MR Tractography

Imaging Methods, Biophysical Models, Algorithms and Applications

Gebonden Engels 2024 9780128188941
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780128188941
Taal:Engels
Bindwijze:Gebonden

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Inhoudsopgave

<p>PART I: From Anatomy to Tractography<br>1. The Brain and its Pathways<br>2. Neurobiology of Connections<br>3. Past and Present of Mapping Brain Connections<br>4. From Brownian motion to the brain connectome: My perspective and historical view of Diffusion MRI<br><br>PART II: Diffusion MRI<br>5. Physics of Diffusion Imaging: Fundamentals<br>6. Diffusion MRI acquisition for tractography: diffusion encoding<br>7. Diffusion MRI acquisition for tractography: Diffusion sequences<br>8. Diffusion MRI acquisition for tractography: Beyond the in vivo adult human brain<br>9. Artifacts and Diffusion MRI Processing<br>10. Single Shell Models: from DTI to HARDI<br>11. Multi-shell Models<br>12. From Diffusion Models to Fiber Orientations<br><br>PART III: Tractography Algorithms<br>13. Deterministic Tractography<br>14. Probabilistic Tractography<br>15. Shortest Path Tractography<br>16. Global Tractography<br>17. Machine Learning in Tractography<br>18. Improving Tractography with Multimodal Integration & Anatomical Priors<br>19. Tractography in normal and pathological anatomy : practical considerations<br>20. Tractography Visualization<br><br>PART IV: From Streamlines to Tracts<br>21. Dissecting White Matter Pathways : A Neuroanatomical Approach<br>22. Dissecting White Matter Pathways : Automatic Approaches<br>23. Methods and statistics for diffusion MRI tractometry<br>24. Connectivity and Connectomics<br>25. Tractography Validation Part 1: what needs validation, numerical simulations, and phantoms<br>26. Tractography Validation Part 2: The use of anatomical model systems and measures for validation<br>27. Tractography Validation Part 3: Lessons Learned through validation studies<br>28. Current challenges and opportunities for tractography<br><br>PART V: Tractography Applications<br>29. Tractography: Applications to Neurodevelopment, Ageing and Plasticity<br>30. Tractography: Linking Behavior with White Matter Networks<br>31. Tractography as a Clinical Tool<br>32. Ex-vivo and Preclinical Tractography: Techniques and Applications at High Field<br>33. "Multicenter Studies and Harmonization: Problems, Solutions, and Open Challenges"<br><br>PART VI: Appendix<br>A. Vectors and Tensors<br>B. Numerical Integration<br>C. Interpolation, Splines and Smoothing<br>D. Spherical Harmonics</p>

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