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IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 2, FEBRUARY 2009 261 Spatial Characterization of fMRI Activation Maps
 

Summary: IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 2, FEBRUARY 2009 261
Spatial Characterization of fMRI Activation Maps
Using Invariant 3-D Moment Descriptors
Bernard Ng*, Student Member, IEEE, Rafeef Abugharbieh, Member, IEEE, Xuemei Huang, and Martin J. McKeown
Abstract--A novel approach is proposed for quantitatively char-
acterizing the spatial patterns of activation statistics in functional
magnetic resonance imaging (fMRI) activation maps. Specifically,
we propose using 3-D invariant moment descriptors, as opposed to
the traditionally-employed magnitude-based features such as mean
voxel statistics or percentage of activated voxels, to characterize
the task-specific spatial distribution of activation statistics within
a given region of interest (ROI). The proposed method is applied
to real fMRI data collected from 21 healthy subjects performing
previously-learned right-handed finger tapping sequences that
are either externally guided (EG) by a cue or internally guided
(IG)--tasks expected to incur subtle differences in motor-related
cortical and subcortical ROIs. Voxel-based activation statistics
contrasting EG versus rest and IG versus rest are examined in
multiple manually-drawn ROIs on unwarped brain images. Ana-
lyzing the activation statistics within each ROI using the proposed

  

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

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences