Abstract
Recently, the imaging technique of the brain function by using the SQUID technology has been developed since technical advancements of the SQUID make it possible to measure feeble magnetic fields of the brain with multichannel [l]–[4]. In this work we estimate the magnetic sources in the cortical region. The estimation region is limited to the surface of the cortex. For this limitation, the cortex is extracted from MR images. Wfe assume that the points on the extracted cortex are current dipoles. All the obtained points are considered as candidate sources. Wfe solve the inverse problem by means of the Multiple Signal Classification (MUSIC) method [2],[3] which is applied to the limited region, i.e. all the points on the surface of the cortex. In the MUSIC method, the measured magnetic Fields data is divided into two subspaces, the signal subspace and the noise subspace. The Minimum Description Length (MDL) criterion is used for this division [5]. We describe here the estimation algorithm, and we present the Computer simulations with the application to the real human brain data.
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