Activelets: Wavelets for sparse representation of hemodynamic responses
2011
Abstract
We propose a new framework to extract the activity-related component in the BOLD functional magnetic resonance imaging (fMRI) signal. As opposed to traditional fMRI signal analysis techniques, we do not impose any prior knowledge of the event timing. Instead, our basic assumption is that the activation pattern is a sequence of short and sparsely distributed stimuli, as is the case in slow event-related fMRI.
Details
Title
Activelets: Wavelets for sparse representation of hemodynamic responses
Author(s)
Khalidov, Ildar ; Fadili, Jalal ; Lazeyras, Francois ; Van De Ville, Dimitri ; Unser, Michael
Published in
Signal Processing
Volume
91
Pages
2810-2821
Date
2011
Publisher
Elsevier
Keywords
Other identifier(s)
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Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LIB - Biomedical Imaging Group
Scientific production and competences > SB - School of Basic Sciences > CIBM - Biomedical Imaging Research Center
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Scientific production and competences > SB - School of Basic Sciences > CIBM - Biomedical Imaging Research Center
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date
2011-12-16