Title :
A Comparison of Regularization Techniques for Magnetoencephalography Source Reconstruction
Author :
Luan, Feng ; Lee, Chany ; Choi, Jong-Ho ; Jung, Hyun-Kyo
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea
Abstract :
In this paper, the abilities of the generalized cross validation (GCV) method and the L-curve method for the determination of the optimal regularization parameter are studied and compared for magnetoencephalography (MEG) source reconstruction. The results verify that the GCV method is a better choice when the measurement noise is relatively high, and the L-curve method seems to be more effective when the source is mainly dominated by errors such as brain perturbation.
Keywords :
inverse problems; magnetoencephalography; medical signal processing; neurophysiology; GCV method; L-curve method; MEG source reconstruction; brain perturbation; generalized cross validation; magnetoencephalography; measurement noise; optimal regularization parameter; regularization technique; source reconstruction; Brain mapping; Brain modeling; Computer science; Electromagnetic measurements; Humans; Inverse problems; Laboratories; Magnetoencephalography; Noise measurement; Pollution measurement; Generalized cross validation (GCV); L-curve; magnetoencephalography (MEG); regularization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2010.2046147
