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A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.
Fraunhofer Mevis, Bremen, Germany.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2011 (English)In: Image Processing (ICIP), 2011, IEEE , 2011, 1589-1592 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
International Conference on Image Processing. Proceedings, ISSN 1522-4880
Keyword [en]
fMRI, functional connectivity, GPU, OpenCL, MeVisLab
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-71137DOI: 10.1109/ICIP.2011.6115753ISI: 000298962501179ISBN: 978-1-4577-1304-0 (print)ISBN: e-978-1-4577-1302-6 OAI: oai:DiVA.org:liu-71137DiVA: diva2:445120
Conference
18th IEEE International Conference on Image Processing (ICIP 2011), 11-14 September 2011, Brussels, Belgium
Available from: 2011-10-03 Created: 2011-10-03 Last updated: 2015-10-09Bibliographically approved

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Eklund, AndersAndersson, MatsKnutsson, Hans

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Citation style
  • apa
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  • vancouver
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  • Other style
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Language
  • de-DE
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  • en-US
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  • Other locale
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Output format
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  • text
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