Advanced Analysis of Diffusion MRI Data.
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| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2019.
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| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Abstract
- Acknowledgments
- Contents
- List of Figures
- List of Tables
- Introduction
- Introduction
- Research questions
- Outline
- Included publications
- Abbreviations
- Reproducibility and ethics
- Magnetic resonance imaging
- History of MRI
- MR physics
- MR signals
- MR spatial encoding
- k-space
- Diffusion MRI
- History of Diffusion MRI
- Diffusion basics
- Diffusion MRI techniques
- Preprocessing of diffusion MRI data
- Introduction
- Susceptibility-induced distortion correction
- Eddy-current-induced distortion correction
- Head motion correction
- Discussion
- Tractography
- Introduction
- Deterministic tractography
- Probabilistic tractography
- Stopping and rejection criteria
- Limitations
- Uncertainty in diffusion models
- Introduction
- Bootstrap
- Bayesian methods
- Reducing uncertainty using a spatial model
- Deep learning in diffusion MRI
- Introduction
- Architectures
- Applications
- Summary of papers
- Introduction
- Paper I - Repeated tractography of a single subject: how high is the variance?
- Paper II - Bayesian diffusion tensor estimation with spatial priors
- Paper III - Multi-fiber estimation and tractography for diffusion MRI using mixture of non-central Wishart distributions
- Paper IV - Using the wild bootstrap to quantify uncertainty in mean apparent propagator MRI
- Paper V - Generating diffusion MRI scalar maps
- Paper VI - Evaluation of six phase encoding based susceptibility distortion correction methods for diffusion MRI
- Bibliography
- Papers.