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
Bernard Ng1
, Ghassan Hamarneh2
, and Rafeef Abugharbieh1
1
Biomedical Signal and Image Computing Lab, The University of British Columbia
2
Medical Image Analysis Lab, Simon Fraser University
{Bernardn,rafeef}@ece.ubc.ca, hamarneh@cs.sfu.ca
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.

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

Collections: Biology and Medicine; Computer Technologies and Information Sciences