A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data
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}
}
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.
November 7, 2011 by hgpu
