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Adaptive fMRI data filtering based in tissue and signal similarities
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9267-2191
2007 (English)In: Joint Annual Meeting ISMRM-ESMRMB,2007, 2007Conference paper, Published paper (Other academic)
Abstract [en]

A novel method for analyzing fMRI data is presented. In order to detect activation with the highest possible accuracy, adaptive filtering is used to enahancethe signal to noise ratio. Using a method similar to bilateral filtering, signals from different voxels are averaged if the voxels belong to the same type oftissue and their signal variations over time are similar. The detection performance is evaluated on synthetic and real data, and it is shown that the twocriterions for averaging complement each other, providing very good detection of activation.

Place, publisher, year, edition, pages
2007.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-38270Local ID: 43368OAI: oai:DiVA.org:liu-38270DiVA: diva2:259119
Conference
Joint Annual Meeting ISMRM-ESMRMB 2007 Berlin, Germany 19-25 May 2007
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-10-08

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Rydell, JoakimKnutsson, HansBorga, Magnus

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