title: Image reconstruction in magnetic resonance conductivity tensor imaging (MRCTI).
abstract: Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study, four novel anisotropic conductivity reconstruction algorithms are proposed to reconstruct high resolution conductivity tensor images. Performances of these four algorithms and a previously proposed algorithm are evaluated in several aspects and compared.
authors: Middle East Technical University, Ankara, Turkey. evrendegirmenci@yahoo.com
authors: Evren
authors: E
authors: Değirmenci
authors: B Murat
authors: BM
authors: Eyüboğlu
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D003198:Computer Simulation; D004553:Electric Conductivity; D017097:Electric Impedance; D004566:Electrodes; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological