
- 638 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Advanced Neuro MR Techniques and Applications
About this book
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.
- Presents a complete reference on advanced Neuro MR Techniques and Applications
- Edited and written by leading researchers in the field
- Suitable for a broad audience of MR scientists and engineers who develop MR technologies, as well as clinicians, neuroscientists and psychologists who utilize neuro MR techniques in their research
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Yes, you can access Advanced Neuro MR Techniques and Applications by In-Young Choi,Peter Jezzard in PDF and/or ePUB format, as well as other popular books in Psychology & Cognitive Neuroscience & Neuropsychology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Front Matter
- Copyright
- List of contributors
- Preface
- Part 1 - Fast and robust imaging
- Chapter 1: Recommendations for neuro MRI acquisition strategies
- Chapter 2: Advanced reconstruction methods for fast MRI
- Chapter 3: Simultaneous multi-slice MRI
- Chapter 4: Motion artifacts and correction in neuro MRI
- Part 2 - Classical and deep learning approaches to neuro image analysis
- Chapter 5: Statistical approaches to neuroimaging analysis
- Chapter 6: Image registration
- Chapter 7: Image segmentation
- Part 3 - Diffusion MRI
- Chapter 8: Diffusion MRI acquisition and reconstruction
- Chapter 9: Diffusion MRI artifact correction
- Chapter 10: Diffusion MRI analysis methods
- Chapter 11: Diffusion as a probe of tissue microstructure
- Part 4 - Perfusion MRI
- Chapter 12: Non-contrast agent perfusion MRI methods
- Chapter 13: Contrast agent-based perfusion MRI methods
- Chapter 14: Perfusion MRI: clinical perspectives
- Part 5 - Functional MRI
- Chapter 15: Functional MRI principles and acquisition strategies
- Chapter 16: Functional MRI analysis
- Chapter 17: Neuroscience applications of functional MRI
- Chapter 18: Clinical applications of functional MRI
- Part 6 - The brain connectome
- Chapter 19: The diffusion MRI connectome
- Chapter 20: Functional MRI connectivity
- Chapter 21: Applications of MRI connectomics
- Part 7 - Susceptibility MRI
- Chapter 22: Principles of susceptibility-weighted MRI
- Chapter 23: Applications of susceptibility-weighted imaging and mapping
- Part 8 - Magnetization transfer approaches
- Chapter 24: Magnetization transfer contrast MRI
- Chapter 25: Chemical exchange saturation transfer (CEST) MRI as a tunable relaxation phenomenon
- Chapter 26: Clinical application of magnetization transfer imaging
- Part 9 - Quantitative relaxometry and parameter mapping
- Chapter 27: Quantitative relaxometry mapping
- Chapter 28: MR fingerprinting: concepts, implementation and applications
- Chapter 29: Quantitative multi-parametric MRI measurements
- Part 10 - Neurovascular imaging
- Chapter 30: Neurovascular magnetic resonance angiography
- Chapter 31: Neurovascular vessel wall imaging: new techniques and clinical applications
- Part 11 - Advanced magnetic resonance spectroscopy
- Chapter 32: Single voxel magnetic resonance spectroscopy: principles and applications
- Chapter 33: Magnetic resonance spectroscopic imaging: principles and applications
- Chapter 34: Non-Fourier-based magnetic resonance spectroscopy
- Part 12 - Ultra-high field neuro MR techniques
- Chapter 35: Benefits, challenges, and applications of ultra-high field magnetic resonance
- Chapter 36: Neuroscience applications of ultra-high-field magnetic resonance imaging: mesoscale functional imaging of the human brain
- Chapter 37: Clinical applications of high field magnetic resonance
- Index