Adaptive fMRI data filtering based in tissue and signal similarities
2007 (English)In: Joint Annual Meeting ISMRM-ESMRMB,2007, 2007Conference paper (Other academic)
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
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-38270Local ID: 43368OAI: oai:DiVA.org:liu-38270DiVA: diva2:259119
Joint Annual Meeting ISMRM-ESMRMB 2007 Berlin, Germany 19-25 May 2007