Bilateral Filtering of fMRI Data

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...

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Bibliographic Details
Published in:IEEE journal of selected topics in signal processing 2008-12, Vol.2 (6), p.891-896
Main Authors: Rydell, J., Knutsson, H., Borga, M.
Format: Article
Language:English
Subjects:
Adaptive filters
Biomedical image processing
Correlation
Digital filters
Filtering
Filtration
Low pass
Low pass filters
Magnetic field measurement
Magnetic resonance imaging
Magnetic separation
Nonlinear filters
Shape
Signal processing
Similarity
Spatial resolution
TECHNOLOGY
TEKNIKVETENSKAP
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Summary: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.
ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2008.2007826