Summary: T. Jiang et al. (Eds.): MICCAI 2010, Part II, LNCS 6362, pp. 331338, 2010.
© Springer-Verlag Berlin Heidelberg 2010
Detecting Brain Activation in fMRI Using
Group Random Walker
, Ghassan Hamarneh2
, and Rafeef Abugharbieh1
Biomedical Signal and Image Computing Lab, The University of British Columbia
Medical Image Analysis Lab, Simon Fraser University
Abstract. Due to the complex noise structure of functional magnetic resonance
imaging (fMRI) data, methods that rely on information within a single subject
often results in unsatisfactory functional segmentation. We thus propose a new
graph-theoretic method, "Group Random Walker" (GRW), that integrates group
information in detecting single-subject activation. Specifically, we extend each
subject's neighborhood system in such a way that enables the states of both
intra- and inter-subject neighbors to be regularized without having to establish a
one-to-one voxel correspondence as required in standard fMRI group analysis.