Online Analysis of Functional MRI Datasets on Parallel Platforms

Authors:
Nigel Goddard;Greg Hood;Jonathan Cohen;William Eddy;Christopher Genovese;Douglas Noll;Leigh Nystrom
Affiliations:
Pittsburgh Supercomputing Center, Carnegie Mellon University (ngoddard@psc.edu);Pittsburgh Supercomputing Center, Carnegie Mellon University;Dept. of Psychology, Carnegie Mellon University;Dept. of Statistics, Carnegie Mellon University;Dept. of Statistics, Carnegie Mellon University;Dept. of Radiology, University of Pittsburgh Medical Center Pittsburgh, PA 15213;Dept. of Psychology, Carnegie Mellon University
Venue:
The Journal of Supercomputing - Special issue on supercomputing in medicine
Year:
1997

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Abstract

We describe a new capability for analyzing and visualizing brain activitywhile a subject is performing a cognitive or perceptual task in a magneticresonance scanner. This online capability integrates geographicallydistributed hardware (scanner, parallel computer, visualizationplatform) via commodity networking. We describe how we parallelized theexisting analysis software and present results for the three main classes ofparallel platforms. Finally we discuss some of the new possibilities thisonline capability presents for scientific studies and clinical intervention.