fMRI Neuroinformatics

Finn Årup Nielsen; Mark Schram Christensen; Kristoffer M. Madsen; Torben E. Lund; Lars Kai Hansen

doi:10.1109/MEMB.2006.1607675

fMRI Neuroinformatics

Finn Årup Nielsen
, Mark Schram Christensen
, Kristoffer M. Madsen
, Torben E. Lund
, Lars Kai Hansen

Research output: Contribution to journal › Journal article › Research › peer-review

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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 for integration of data from multiple subjects etc., is the basis for a lively research field and has led to the development of a large number of tools.

Original language	English
Journal	IEEE Engineering in Medicine and Biology Magazine
Volume	25
Issue number	2
Pages (from-to)	112-119
ISSN	0739-5175
DOIs	https://doi.org/10.1109/MEMB.2006.1607675
Publication status	Published - 2006

Bibliographical note

Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Keywords

software
neuroimaging
image analysis

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10.1109/MEMB.2006.1607675

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title = "fMRI Neuroinformatics",

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 for integration of data from multiple subjects etc., is the basis for a lively research field and has led to the development of a large number of tools.",

keywords = "software, neuroimaging, image analysis",

author = "Nielsen, \{Finn {\AA}rup\} and Christensen, \{Mark Schram\} and Madsen, \{Kristoffer M.\} and Lund, \{Torben E.\} and Hansen, \{Lars Kai\}",

note = "Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE",

year = "2006",

doi = "10.1109/MEMB.2006.1607675",

language = "English",

volume = "25",

pages = "112--119",

journal = "IEEE Engineering in Medicine and Biology Magazine",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - fMRI Neuroinformatics

AU - Nielsen, Finn Årup

AU - Christensen, Mark Schram

AU - Madsen, Kristoffer M.

AU - Lund, Torben E.

AU - Hansen, Lars Kai

N1 - Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2006

Y1 - 2006

N2 - 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 for integration of data from multiple subjects etc., is the basis for a lively research field and has led to the development of a large number of tools.

AB - 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 for integration of data from multiple subjects etc., is the basis for a lively research field and has led to the development of a large number of tools.

KW - software

KW - neuroimaging

KW - image analysis

U2 - 10.1109/MEMB.2006.1607675

DO - 10.1109/MEMB.2006.1607675

M3 - Journal article

SN - 0739-5175

VL - 25

SP - 112

EP - 119

JO - IEEE Engineering in Medicine and Biology Magazine

JF - IEEE Engineering in Medicine and Biology Magazine

IS - 2

ER -

fMRI Neuroinformatics

Abstract

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Keywords

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