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- Eklund, Anders, et al.
(författare)
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A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data
- 2011
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Ingår i: Image Processing (ICIP), 2011. - : IEEE. - 9781457713040 ; , s. 1589-1592
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Konferensbidrag (refereegranskat)abstract
- Functional connectivity analysis is a way to investigate how different parts of the brain are connected and interact. A common measure of connectivity is the temporal correlation between a reference voxel time series and all the other time series in a functional MRI data set. An fMRI data set generally contains more than 20,000 within-brain voxels, making a complete correlation analysis between all possible combinations of voxels heavy to compute, store, visualize and explore. In this paper, a GPU-accelerated interactive tool for investigating functional connectivity in fMRI data is presented. A reference voxel can be moved by the user and the correlations to all other voxels are calculated in real-time using the graphics processing unit (GPU). The resulting correlation map is updated in real-time and visualized as a 3D volume rendering together with a high resolution anatomical volume. This tool greatly facilitates the search for interesting connectivity patterns in the brain.
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