title: Low-parametric induced current - magnetic resonance electrical impedance tomography for quantitative conductivity estimation of brain tissues using a priori information: a simulation study.
abstract: Accurate estimation of the human head conductivity is important for the diagnosis and therapy of brain diseases. Induced Current - Magnetic Resonance Electrical Impedance Tomography (IC-MREIT) is a recently developed non-invasive technique for conductivity estimation. This paper presents a formulation where a low number of material parameters need to be estimated, starting from MR eddy-current field maps. We use a parameterized frequency dependent 4-Cole-Cole material model, an efficient independent impedance method for eddy-current calculations and a priori information through the use of voxel models. The proposed procedure circumvents the ill-posedness of traditional IC-MREIT and computational efficiency is obtained by using an efficient forward eddy-current solver.
authors.affiliation: Department of Electrical Energy, Systems and Automation, Ghent University, 9000, Belgium. Nele.DeGeeter@UGent.be
authors.forename: Nele
authors.initials: N
authors.lastname: De Geeter
authors.forename: Guillaume
authors.initials: G
authors.lastname: Crevecoeur
authors.forename: Luc
authors.initials: L
authors.lastname: Dupré
mesh_terms: D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D017097:Electric Impedance; D004560:Electricity; D055724:Electrophysiological Phenomena; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D015203:Reproducibility of Results; D014054:Tomography / Q000379:methods*