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Bilateral Filtering of fMRI Data
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
2008 (English)In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, ISSN 1932-4553, Vol. 2, no 6, 891-896 p.Article in journal (Refereed) Published
Abstract [en]

We present a class of adaptive filtering techniques of functional magnetic resonance imaging (fMRI) data related to bilateral filtering. This class of methods average activities in consistent regions rather than regions that maximize correlation with a BOLD model. Similarity measures based on signal similarity and anatomical similarity are discussed and compared experimentally to standard linear low pass filtering. It is demonstrated that adaptive filtering provides improved detection of activated regions.

Place, publisher, year, edition, pages
2008. Vol. 2, no 6, 891-896 p.
Keyword [en]
Biomedical image processing, magnetic resonance imaging, nonlinear filters
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-18152DOI: 10.1109/JSTSP.2008.2007826ISI: 000265495700008OAI: oai:DiVA.org:liu-18152DiVA: diva2:216491
Available from: 2009-05-09 Created: 2009-05-08 Last updated: 2015-10-09

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Rydell, JoakimKnutsson, HansBorga, Magnus

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