Towards a virtual laboratory for FMRI data management and analysis

Functional Magnetic Resonance Imaging (fMRI) is a popular tool used in neuroscience research to study brain activation due to motor or cognitive stimulation. In fMRI studies, large amounts of data are acquired, processed, compared, annotated, shared by many users and archived for future reference. A...

Full description

Saved in:
Bibliographic Details
Published inStudies in health technology and informatics Vol. 120; p. 43
Main Authors Olabarriaga, Silvia D, Nederveen, Aart J, Snel, Jeroen G, Belleman, Robert G
Format Journal Article
LanguageEnglish
Published Netherlands 2006
Subjects
Online AccessGet more information

Cover

Loading…
More Information
Summary:Functional Magnetic Resonance Imaging (fMRI) is a popular tool used in neuroscience research to study brain activation due to motor or cognitive stimulation. In fMRI studies, large amounts of data are acquired, processed, compared, annotated, shared by many users and archived for future reference. As such, fMRI studies have characteristics of applications that can benefit from grid computation approaches, in which users associated with virtual organizations can share high performance and large capacity computational resources. In the Virtual Laboratory for e-Science (VL-e) Project, initial steps have been taken to build a grid-enabled infrastructure to facilitate data management and analysis for fMRI. This article presents our current efforts for the construction of this infrastructure. We start with a brief overview of fMRI, and proceed with an analysis of the existing problems from a data management perspective. A description of the proposed infrastructure is presented, and the current status of the implementation is described with a few preliminary conclusions.
ISSN:0926-9630