Neuroimage acquisition and analysis
In: Neurotechnology: methods, advances and applications, pages 37-67, IET, 2020
Abstract
Neuroimaging has facilitated major advances in understanding the human brain, and provides invaluable guidance for diagnosis and therapy of disease. This chapter provides a broad overview of human in-vivo neuroimaging techniques, and introduces algorithms for neuroimage processing and analysis. Covered modalities include structural, functional, and diffusion MRI (dMRI), positron emission tomography (PET), and magnetoencephalography (MEG). We discuss state-of-the-art algorithms for image registration and segmentation, for statistical analysis, and for predictive modeling.
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Bibtex
@INCOLLECTION{Schultz:IET2020, author = {Schultz, Thomas}, pages = {37--67}, title = {Neuroimage acquisition and analysis}, booktitle = {Neurotechnology: methods, advances and applications}, chapter = {3}, year = {2020}, publisher = {IET}, abstract = {Neuroimaging has facilitated major advances in understanding the human brain, and provides invaluable guidance for diagnosis and therapy of disease. This chapter provides a broad overview of human in-vivo neuroimaging techniques, and introduces algorithms for neuroimage processing and analysis. Covered modalities include structural, functional, and diffusion MRI (dMRI), positron emission tomography (PET), and magnetoencephalography (MEG). We discuss state-of-the-art algorithms for image registration and segmentation, for statistical analysis, and for predictive modeling.} }