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MICCAI
2002
Springer

Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique

9 years 11 months ago
Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMRI). The region based approach uses an automatic parcellation of the brain that can incorporate anatomical constraints. A standard univariate voxel based detection method (Statistical Parametric Mapping [5]) is used and the results are compared to those obtained when performing detection of signals extracted from the parcels. Results on a fMRI experimental protocol are presented and show a greater sensitivity using the parcelling technique. This result remains true when the data are analyzed at several resolutions.
Guillaume Flandin, Ferath Kherif, Xavier Pennec, G
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2002
Where MICCAI
Authors Guillaume Flandin, Ferath Kherif, Xavier Pennec, Grégoire Malandain, Nicholas Ayache, Jean-Baptiste Poline
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