Title :
A new beamforming-based MEG dipole source localization method
Author :
Mohseni, Hamid R. ; Sanei, Saeid
Author_Institution :
Center of Digital Signal Process., Cardiff Univ., Cardiff, UK
Abstract :
In this study a novel deflation based beamforming (BF) method for multiple dipole source localization of surface magnetoencephalogram (MEG) is considered. Two more constraints are added to the conventional BF formulation and a closed-form solution is given. The first constraint minimizes the power of the noise at the output of the BF. The second constraint simultaneously deflates the identified dipoles and identifies the next dipole. This method is called deflation BF and is capable of detecting highly correlated sources, as well as sources with small power which are dominated by other sources. An iterative deflation and localization method is also proposed to improve the accuracy of the method. The proposed method is compared with conventional BF for both simulated and real MEG data.
Keywords :
iterative methods; magnetoencephalography; medical signal processing; MEG; beamforming; deflation BF; dipole source localization; iterative deflation; localization; surface magnetoencephalogram; Array signal processing; Closed-form solution; Digital signal processing; Electrodes; Image resolution; Iterative methods; Neuroimaging; Power engineering and energy; Spatial resolution; Working environment noise; Beamforming; deflation; dipole source localization; magnetoencephalogram;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495593