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.

Images

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.}
}