NeuroGrid: using grid technology to advance neuroscience

NeuroGrid: using grid technology to advance neuroscience

Large-scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply...

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Bibliographische Detailangaben
Hauptverfasser: Geddes, J., Lloyd, S., Simpson, A., Rossor, M., Fox, N., Hill, D., Hajnal, J.V., Lawrie, S., Mclntosh, A., Johnstone, E., Wardlaw, J., Perry, D., Procter, R., Bath, P., Bullmore, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical imaging
Dementia
Educational institutions
Grid computing
Image analysis
Medical diagnostic imaging
Neuroimaging
Neuroscience
Psychiatry
Psychology
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Beschreibung
Zusammenfassung:Large-scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply this to three exemplar areas: stroke, dementia and psychosis, to conduct collaborative neuroscience research.
ISSN:1063-7125
DOI:10.1109/CBMS.2005.76