title: EIT images with improved spatial resolution using a realistic head model.
abstract: A recursive algorithm is presented to improve the spatial resolution of 3-D Electrical Impedance Tomography (EIT) images in a four-shell realistic head model. In this algorithm, the low spatial resolution image derived from the standardized low resolution electromagnetic tomography algorithm (sLORETA) is chosen to be the initial estimate for the Focal Underdetermined System Solver (FOCUSS), and a shrinking strategy is adopted for adjusting the source space during iteration process in FOCUSS. Images are presented with improved spatial resolution and the algorithm effectiveness is verified on simulated data by setting two perturbations in the movement and visual regions of the brain.
authors.affiliation: Joint Key Laboratory of Electromagnetic Field & Electrical Apparatus Reliability, Hebei University of Technology, Tianjin, China. donggya@jsmail.hebut.edu.cn
authors.forename: Guoya
authors.initials: G
authors.lastname: Dong
authors.forename: Richard
authors.initials: R
authors.lastname: Bayford
authors.forename: Hesheng
authors.initials: H
authors.lastname: Liu
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhou
authors.forename: Weili
authors.initials: W
authors.lastname: Yan
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D017097:Electric Impedance; D006257:Head / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014054:Tomography / Q000379:methods*