A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data
2011 (English)In: Image Processing (ICIP), 2011, IEEE , 2011, 1589-1592 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2011. 1589-1592 p.
, International Conference on Image Processing. Proceedings, ISSN 1522-4880
fMRI, functional connectivity, GPU, OpenCL, MeVisLab
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-71137DOI: 10.1109/ICIP.2011.6115753ISI: 000298962501179ISBN: 978-1-4577-1304-0ISBN: e-978-1-4577-1302-6OAI: oai:DiVA.org:liu-71137DiVA: diva2:445120
18th IEEE International Conference on Image Processing (ICIP 2011), 11-14 September 2011, Brussels, Belgium