Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Neuroimage acquisition and analysis

Neuroimage acquisition and analysis

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Neurotechnology: Methods, advances and applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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.

Chapter Contents:

  • 3.1 Introduction
  • 3.2 Neuroimaging modalities
  • 3.2.1 Magnetic resonance imaging
  • 3.2.2 Functional MRI
  • 3.2.3 Diffusion MRI
  • 3.2.4 Positron emission tomography
  • 3.2.5 EEG and MEG
  • 3.3 Image registration
  • 3.3.1 Cost functions for registration
  • 3.3.2 Linear registration
  • 3.3.3 Nonlinear registration
  • 3.3.4 Standard spaces and templates
  • 3.4 Image segmentation
  • 3.4.1 Deformable models
  • 3.4.2 Markov random fields
  • 3.4.3 Convolutional neural networks
  • 3.5 Statistical testing
  • 3.5.1 Statistical parametric maps and familywise errors
  • 3.5.2 Voxel-based morphometry
  • 3.5.3 Modeling task-based fMRI
  • 3.5.4 Modeling resting-state fMRI
  • 3.5.5 Modeling dMRI
  • 3.6 Predictive modeling
  • 3.6.1 Supervised classification and regression
  • 3.6.2 Features for predictive modeling
  • 3.6.3 Hyperparameter tuning and evaluation
  • 3.7 Outlook
  • References

Inspec keywords: statistical analysis; image registration; medical image processing; magnetoencephalography; diseases; positron emission tomography; neurophysiology; biomedical MRI

Other keywords: positron emission tomography; structural MRI; dMRI; neuroimage processing; neuroimage acquisition; in-vivo neuroimaging techniques; MEG; diffusion MRI; statistical analysis; functional MRI; human brain; invaluable guidance; covered modalities; broad overview; magnetoencephalography

Subjects: Nuclear medicine, emission tomography; Other topics in statistics; Optical, image and video signal processing; Medical magnetic resonance imaging and spectroscopy; Biology and medical computing; Biomedical magnetic resonance imaging and spectroscopy; Probability theory, stochastic processes, and statistics; Nuclear medicine, emission tomography; Patient diagnostic methods and instrumentation; Electric and magnetic fields (medical uses); Biophysics of neurophysiological processes; Biomagnetic signals; Computer vision and image processing techniques; Other topics in statistics

Preview this chapter:
Zoom in
Zoomout

Neuroimage acquisition and analysis, Page 1 of 2

| /docserver/preview/fulltext/books/he/pbhe019e/PBHE019E_ch3-1.gif /docserver/preview/fulltext/books/he/pbhe019e/PBHE019E_ch3-2.gif

Related content

content/books/10.1049/pbhe019e_ch3
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address