Forward model theoretical basis for a superconducting imaging surface magnetoencephalography system.
A novel magnetoencephalography (MEG) system was designed at Los Alamos National Laboratory (LANL) that incorporates a helmet-shaped superconductor in order to increase the signal to noise ratio. The magnetic field perturbations caused by the superconducting surface must be included in the forward physics for accurate source localization. In this paper, the theoretical basis for the forward model that calculates the field of any magnetic source in the presence of an arbitrarily shaped superconducting surface is presented. Appropriate magnetic field integral equations are derived that provide a description of the physics of the forward model. These equations are derived starting from Maxwell's equations in the presence of inhomogeneous media, with the appropriate boundary conditions for a superconductor. A discretized version of this equation is then compared with known analytic solutions for simple superconducting surface geometries.
University of New Mexico, Albuquerque, NM, USA. keeran.maharajh@uchsc.edu
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D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods; D008962:Models, Theoretical; D013597:Systems Analysis