Multimodal imaging in neurology special focus on MRI applications and MEG /
The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalograp...
Main Author: | |
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Other Authors: | |
Format: | Electronic |
Language: | English |
Published: |
San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2008.
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Series: | Synthesis lectures on biomedical engineering,
#16. |
Subjects: | |
Online Access: | Abstract with links to resource |
Summary: | The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodalmultimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). Themultimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles/tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated. |
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Item Description: | Part of: Synthesis digital library of engineering and computer science. Title from PDF t.p. (viewed on Nov. 2, 2008). Series from website. |
Physical Description: | 1 electronic text (x, 75 p. : ill.) : digital file. Also available in print. |
Format: | Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader. |
Bibliography: | Includes bibliographic references (p. 61-73). |
ISBN: | 1598295519 (electronic bk.) 9781598295511 (electronic bk.) |
ISSN: | 1930-0336 ; |
Access: | Abstract freely available; full-text restricted to subscribers or individual document purchasers. |