title: Effect of the signal-to-noise ratio on the quality of linear estimation reconstructions of distributed current sources.
abstract: Currently, linear estimation reconstruction is the only feasible method for extracting information about spatially distributed current sources from measurements of neural magnetic fields. We present the results of a systematic study of the effect of the signal-to-noise ratio on the imaging quality of one such algorithm in over-as well as undetermined circumstances. In particular, we will discuss the necessary trade-off between the contradictory goals of a minimum norm of the reconstructed current density distribution and of a minimal deviation of the reconstructed fields from the measured fields. As an example, we show the reconstruction of a simple arrangement of two nearly parallel dipoles in two different depths inside a spherical volume conductor, discussing the differences between the computer simulation without noise and simulation with a realistic noise level.
authors: Philips GmbH Forschungslaboratorien, Forschungsabteilung Technische Systeme Hamburg, Germany.
authors: H A
authors: HA
authors: Wischmann
authors: M
authors: M
authors: Fuchs
authors: O
authors: O
authors: Dössel
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D004553:Electric Conductivity; D006801:Humans; D008280:Magnetics; D008954:Models, Biological