UID:
almahu_9949846595802882
Format:
1 online resource (108 pages)
Edition:
1st ed.
ISBN:
9789175190037
Series Statement:
Linköping Studies in Science and Technology. Dissertations Series ; v.2017
Note:
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.
Additional Edition:
Print version: Gu, Xuan Advanced Analysis of Diffusion MRI Data Linköping : Linkopings Universitet,c2019
Language:
English
Keywords:
Electronic books.
