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Scanning Reduction Strategy in MEGEEG Beamformer Source Imaging
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-20
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
MEG/EEG beamformer source imaging is a promising approach which can easily address spatiotemporal multi-dipole problems without a priori information on the number of sources and is robust to noise.
Despite such promise, beamformer generally has weakness which is degrading localization performance for correlated sources and is requiring of dense scanning for covering all possible interesting (entire) source areas.
Wide source space scanning yields all interesting area images, and it results in lengthy computation time.
Therefore, an efficient source space scanning strategy would be beneficial in achieving accelerated beamformer source imaging.
We propose a new strategy in computing beamformer to reduce scanning points and still maintain effective accuracy (good spatial resolution).
This new strategy uses the distribution of correlation values between measurements and lead-field vectors.
Scanning source points are chosen yielding higher RMS correlations than the predetermined correlation thresholds.
We discuss how correlation thresholds depend on SNR and verify the feasibility and efficacy of our proposed strategy to improve the beamformer through numerical and empirical experiments.
Our proposed strategy could in time accelerate the conventional beamformer up to over 40% without sacrificing spatial accuracy.
American Psychological Association (APA)
Hong, Jun Hee& Jun, Sung Chan. 2011. Scanning Reduction Strategy in MEGEEG Beamformer Source Imaging. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-993343
Modern Language Association (MLA)
Hong, Jun Hee& Jun, Sung Chan. Scanning Reduction Strategy in MEGEEG Beamformer Source Imaging. Journal of Applied Mathematics No. 2012 (2012), pp.1-19.
https://search.emarefa.net/detail/BIM-993343
American Medical Association (AMA)
Hong, Jun Hee& Jun, Sung Chan. Scanning Reduction Strategy in MEGEEG Beamformer Source Imaging. Journal of Applied Mathematics. 2011. Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-993343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993343