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A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data

Anders Eklund, Ola Friman, Mats Andersson, Hans Knutsson
Division of Medical Informatics, Department of Biomedical Engineering, Linkoping University, Sweden
IEEE International Conference on Image Processing, 2011

@inproceedings{eklund2011gpu,

   title={A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data},

   author={Eklund, A. and Friman, O. and Andersson, M. and Knutsson, H.},

   booktitle={Proceedings of the IEEE International Conference on Image Processing,(ICIP)},

   pages={1621–1624},

   year={2011}

}

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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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