A neuromagnetic source distribution estimation using MRI information

The authors present an algorithm for the estimation of the magnetic sources in the human brain using MRI information. It is difficult to make a complete estimation of the whole brain magnetic sources. But it is known that the neurons exist densely in the cerebral cortex. For this reason, in this preliminary study the authors limit the estimation region to the surface of the cortex. They consider all the cortex surface points as current dipoles, and by using the MUSIC technique they determine the real dipoles. The authors give here the results of their algorithm applied to real human brain data.

[1]  Neuromagnetic source analysis with a 64-channel SQUID system and MR imaging , 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.

[2]  J.-Z. Wang,et al.  Minimum-norm least-squares estimation: magnetic source images for a spherical model head , 1993, IEEE Transactions on Biomedical Engineering.

[3]  L. Kaufman,et al.  Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation , 1992, IEEE Transactions on Biomedical Engineering.

[4]  B. Neil Cuffin,et al.  Magnetic Fields of a Dipole in Special Volume Conductor Shapes , 1977, IEEE Transactions on Biomedical Engineering.

[5]  Richard M. Leahy,et al.  Matrix kernels for MEG and EEG source localization and imaging , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[6]  L. Kaufman,et al.  Magnetic Source Imaging , 1991, Proceedings Technology Requirements for Biomedical Imaging.

[7]  J. Sarvas Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.

[8]  J.C. Mosher,et al.  Multiple dipole modeling and localization from spatio-temporal MEG data , 1992, IEEE Transactions on Biomedical Engineering.