Advanced Neuro MR Techniques and Applications gives detailed knowledge of emerging neuro MR techniques and their specific clinical and neuroscience applications, showing their pros and cons over conventional and currently available advanced techniques. The book identifies the best available data acquisition, processing, reconstruction and analysis strategies and methods that can be utilized in clinical and neuroscience research. It is an ideal reference for MR scientists and engineers who develop MR technologies and/or support clinical and neuroscience research and for high-end users who utilize neuro MR techniques in their research, including clinicians, neuroscientists and psychologists.
Trainees such as postdoctoral fellows, PhD and MD/PhD students, residents and fellows using or considering the use of neuro MR technologies will also be interested in this book.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Front Matter - p. iii 5. Copyright - p. iii 6. List of contributors - p. iii 7. Preface - p. iii 8. Part 1 - Fast and robust imaging - p. xvii 9. Chapter 1: Recommendations for neuro MRI acquisition strategies - p. 3 10. Chapter 2: Advanced reconstruction methods for fast MRI - p. 21 11. Chapter 3: Simultaneous multi-slice MRI - p. 37 12. Chapter 4: Motion artifacts and correction in neuro MRI - p. 53 13. Part 2 - Classical and deep learning approaches to neuro image analysis - p. 68 14. Chapter 5: Statistical approaches to neuroimaging analysis - p. 71 15. Chapter 6: Image registration - p. 83 16. Chapter 7: Image segmentation - p. 95 17. Part 3 - Diffusion MRI - p. 105 18. Chapter 8: Diffusion MRI acquisition and reconstruction - p. 109 19. Chapter 9: Diffusion MRI artifact correction - p. 123 20. Chapter 10: Diffusion MRI analysis methods - p. 147 21. Chapter 11: Diffusion as a probe of tissue microstructure - p. 157 22. Part 4 - Perfusion MRI - p. 173 23. Chapter 12: Non-contrast agent perfusion MRI methods - p. 177 24. Chapter 13: Contrast agent-based perfusion MRI methods - p. 195 25. Chapter 14: Perfusion MRI: clinical perspectives - p. 211 26. Part 5 - Functional MRI - p. 228 27. Chapter 15: Functional MRI principles and acquisition strategies - p. 231 28. Chapter 16: Functional MRI analysis - p. 247 29. Chapter 17: Neuroscience applications of functional MRI - p. 261 30. Chapter 18: Clinical applications of functional MRI - p. 277 31. Part 6 - The brain connectome - p. 292 32. Chapter 19: The diffusion MRI connectome - p. 295 33. Chapter 20: Functional MRI connectivity - p. 309 34. Chapter 21: Applications of MRI connectomics - p. 323 35. Part 7 - Susceptibility MRI - p. 338 36. Chapter 22: Principles of susceptibility-weighted MRI - p. 341 37. Chapter 23: Applications of susceptibility-weighted imaging and mapping - p. 359 38. Part 8 - Magnetization transfer approaches - p. 369 39. Chapter 24: Magnetization transfer contrast MRI - p. 373 40. Chapter 25: Chemical exchange saturation transfer (CEST) MRI as a tunable relaxation phenomenon - p. 387 41. Chapter 26: Clinical application of magnetization transfer imaging - p. 403 42. Part 9 - Quantitative relaxometry and parameter mapping - p. 417 43. Chapter 27: Quantitative relaxometry mapping - p. 421 44. Chapter 28: MR fingerprinting: concepts, implementation and applications - p. 435 45. Chapter 29: Quantitative multi-parametric MRI measurements - p. 451 46. Part 10 - Neurovascular imaging - p. 465 47. Chapter 30: Neurovascular magnetic resonance angiography - p. 469 48. Chapter 31: Neurovascular vessel wall imaging: new techniques and clinical applications - p. 485 49. Part 11 - Advanced magnetic resonance spectroscopy - p. 500 50. Chapter 32: Single voxel magnetic resonance spectroscopy: principles and applications - p. 503 51. Chapter 33: Magnetic resonance spectroscopic imaging: principles and applications - p. 519 52. Chapter 34: Non-Fourier-based magnetic resonance spectroscopy - p. 537 53. Part 12 - Ultra-high field neuro MR techniques - p. 549 54. Chapter 35: Benefits, challenges, and applications of ultra-high field magnetic resonance - p. 553 55. Chapter 36: Neuroscience applications of ultra-high-field magnetic resonance imaging: mesoscale functional imaging of the human brain - p. 573 56. Chapter 37: Clinical applications of high field magnetic resonance - p. 589 57. Index - p. 607
Advanced Neuro MR Techniques and Applications gives detailed knowledge of emerging neuro MR techniques and their specific clinical and neuroscience applications, showing their pros and cons over conventional and currently available advanced techniques. The book identifies the best available data acquisition, processing, reconstruction and analysis strategies and methods that can be utilized in clinical and neuroscience research. It is an ideal reference for MR scientists and engineers who develop MR technologies and/or support clinical and neuroscience research and for high-end users who utilize neuro MR techniques in their research, including clinicians, neuroscientists and psychologists.
Trainees such as postdoctoral fellows, PhD and MD/PhD students, residents and fellows using or considering the use of neuro MR technologies will also be interested in this book.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Front Matter - p. iii 5. Copyright - p. iii 6. List of contributors - p. iii 7. Preface - p. iii 8. Part 1 - Fast and robust imaging - p. xvii 9. Chapter 1: Recommendations for neuro MRI acquisition strategies - p. 3 10. Chapter 2: Advanced reconstruction methods for fast MRI - p. 21 11. Chapter 3: Simultaneous multi-slice MRI - p. 37 12. Chapter 4: Motion artifacts and correction in neuro MRI - p. 53 13. Part 2 - Classical and deep learning approaches to neuro image analysis - p. 68 14. Chapter 5: Statistical approaches to neuroimaging analysis - p. 71 15. Chapter 6: Image registration - p. 83 16. Chapter 7: Image segmentation - p. 95 17. Part 3 - Diffusion MRI - p. 105 18. Chapter 8: Diffusion MRI acquisition and reconstruction - p. 109 19. Chapter 9: Diffusion MRI artifact correction - p. 123 20. Chapter 10: Diffusion MRI analysis methods - p. 147 21. Chapter 11: Diffusion as a probe of tissue microstructure - p. 157 22. Part 4 - Perfusion MRI - p. 173 23. Chapter 12: Non-contrast agent perfusion MRI methods - p. 177 24. Chapter 13: Contrast agent-based perfusion MRI methods - p. 195 25. Chapter 14: Perfusion MRI: clinical perspectives - p. 211 26. Part 5 - Functional MRI - p. 228 27. Chapter 15: Functional MRI principles and acquisition strategies - p. 231 28. Chapter 16: Functional MRI analysis - p. 247 29. Chapter 17: Neuroscience applications of functional MRI - p. 261 30. Chapter 18: Clinical applications of functional MRI - p. 277 31. Part 6 - The brain connectome - p. 292 32. Chapter 19: The diffusion MRI connectome - p. 295 33. Chapter 20: Functional MRI connectivity - p. 309 34. Chapter 21: Applications of MRI connectomics - p. 323 35. Part 7 - Susceptibility MRI - p. 338 36. Chapter 22: Principles of susceptibility-weighted MRI - p. 341 37. Chapter 23: Applications of susceptibility-weighted imaging and mapping - p. 359 38. Part 8 - Magnetization transfer approaches - p. 369 39. Chapter 24: Magnetization transfer contrast MRI - p. 373 40. Chapter 25: Chemical exchange saturation transfer (CEST) MRI as a tunable relaxation phenomenon - p. 387 41. Chapter 26: Clinical application of magnetization transfer imaging - p. 403 42. Part 9 - Quantitative relaxometry and parameter mapping - p. 417 43. Chapter 27: Quantitative relaxometry mapping - p. 421 44. Chapter 28: MR fingerprinting: concepts, implementation and applications - p. 435 45. Chapter 29: Quantitative multi-parametric MRI measurements - p. 451 46. Part 10 - Neurovascular imaging - p. 465 47. Chapter 30: Neurovascular magnetic resonance angiography - p. 469 48. Chapter 31: Neurovascular vessel wall imaging: new techniques and clinical applications - p. 485 49. Part 11 - Advanced magnetic resonance spectroscopy - p. 500 50. Chapter 32: Single voxel magnetic resonance spectroscopy: principles and applications - p. 503 51. Chapter 33: Magnetic resonance spectroscopic imaging: principles and applications - p. 519 52. Chapter 34: Non-Fourier-based magnetic resonance spectroscopy - p. 537 53. Part 12 - Ultra-high field neuro MR techniques - p. 549 54. Chapter 35: Benefits, challenges, and applications of ultra-high field magnetic resonance - p. 553 55. Chapter 36: Neuroscience applications of ultra-high-field magnetic resonance imaging: mesoscale functional imaging of the human brain - p. 573 56. Chapter 37: Clinical applications of high field magnetic resonance - p. 589 57. Index - p. 607
