Improved detection sensitivity in functional MRI data using a brain parcelling technique

Details

Serval ID
serval:BIB_BA6172DEEB03
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Improved detection sensitivity in functional MRI data using a brain parcelling technique
Title of the conference
MICCAI 2002, 5th International Conference on Medical Image Computing and Computer Assisted Intervention
Author(s)
Flandin G., Kherif F., Pennec X., Malandain G., Ayache N., Poline J.B.
Address
Tokyo, Japan, September 25-28, 2002
ISBN
0302-9743
Publication state
Published
Issued date
2002
Editor
Dohi T., Kikinis R.
Volume
2488
Series
Lecture Notes in Computer Science
Pages
467-474
Language
english
Notes
Publication type : Proceedings Paper
Abstract
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.
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Create date
22/01/2013 16:10
Last modification date
20/08/2019 16:28
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