DocumentCode :
867737
Title :
fMRI neuroinformatics
Author :
Nielsen, Finn Årup ; Christensen, Mark Schram ; Madsen, Kristoffer H. ; Lund, Torben E. ; Hansen, Lars Kai
Author_Institution :
THOR Center for Neuroinformatics, Tech. Univ. Denmark, Lyngby, Denmark
Volume :
25
Issue :
2
fYear :
2006
Firstpage :
112
Lastpage :
119
Abstract :
Functional magnetic resonance imaging (fMRI) generates vast amounts of data. The handling, processing, and analysis of fMRI data would be inconceivable without computer-based methods. fMRI neuroinformatics is concerned with research, development, and operation of these methods. Reconstruction, rudimentary analysis, and visualization tools are implemented in software controlling modern MRI scanners. Research in advanced methods for analysis of subtle activation patterns, realistic physiological modeling, or integration of data from multiple subjects is the basis for a lively research field and has led to the development of a large number of tools.
Keywords :
biomedical MRI; data analysis; data visualisation; image recognition; image reconstruction; image registration; medical image processing; neurophysiology; physiological models; MRI scanners; activation patterns; computer-based methods; data handling; data processing; fMRI data analysis; fMRI neuroinformatics; functional magnetic resonance imaging; physiological modeling; reconstruction tool; rudimentary analysis; software control; visualization tool; Head; Image analysis; Image databases; Image processing; Image registration; Magnetic analysis; Magnetic resonance imaging; Packaging; Scanning probe microscopy; Visual databases; Animals; Brain; Brain Mapping; Computational Biology; Computer Simulation; Evoked Potentials; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Magnetic Resonance Imaging; Models, Neurological; Neurophysiology; Oxygen; Research;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2006.1607675
Filename :
1607675
Link To Document :
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