Advanced Analysis of Diffusion MRI Data.

• Superior document: Linköping Studies in Science and Technology. Dissertations Series ; v.2017
• Author: Gu, Xuan.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2019.; {copy}2019.
• Year of Publication: 2019
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Science and Technology. Dissertations Series
• Physical Description: 1 online resource (108 pages)

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.