Middle East Technical University, Ankara, Turkey.
IEEE Trans Med Imaging. 2012 Mar;31(3):525-32. doi: 10.1109/TMI.2011.2171192. Epub 2011 Oct 10.
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.
迄今为止提出的几乎所有磁共振电阻抗断层成像（MREIT）重建算法都假设各向同性电导率，以便简化图像重建。然而，众所周知，大多数生物组织具有各向异性的电导率值。在这项研究中，提出了四种新的各向异性电导率重建算法，以重建高分辨率电导率张量图像。从几个方面评估并比较了这四种算法和以前提出的算法的性能。
