Multi-voxel Non-linear fMRI Analysis: A Grid Computing Approach

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Andrade, R (Author) Other; Oliveira, I (Author) Other; Fernandes, JM (Author) Other; Cunha, JPS (Author) Other

Conference proceedings International

Title: IBERGRID: 1ST IBERIAN GRID INFRASTRUCTURE CONFERENCE PROCEEDINGS

Pages: 365-373

1st Iberian Infrastructure Conference (IBERGRID)

Santiago Compostela, SPAIN, MAY 14-16, 2007

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ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-004-DBK

Abstract (EN): Functional magnetic resonance imaging (fMRI) is a medical imaging technique used to characterize brain physiological activity, usually presented as 3D volumes in function of time. Our previous work in nonlinear association studies in electroencephalogram (EEG) time series enabled us to identify EEG features relevant for clinical diagnosis. The use of a similar approach in fMRI (adapted for 3D time series) is both appealing and new. Such time series analysis however imposes challenging requirements regarding computational power and medical image management. In this paper we propose the use of Grid computing to cope with the demanding fMRI multi-voxel association analysis workflow and present a working prototype. The system, implemented using the gLite middleware, provides the necessary support to manage brain images and run different non-linear fMRI analysis methods.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9