Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

被引：8

作者：

Degirmenci, Evren ^{[1
]}

Eyuboglu, B. Murat ^{[1
]}

机构：

[1] Middle E Tech Univ, Dept Elect & Elect Engn, TR-06531 Ankara, Turkey

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2012年 / 31卷 / 03期

关键词：

Anisotropic conductivity; electrical impedance; imaging; magnetic resonance; reconstruction; tensor; tomography; ELECTRICAL-IMPEDANCE TOMOGRAPHY; CURRENT-DENSITY; MR-EIT; MREIT; ALGORITHM; SIMULATION;

D O I：

10.1109/TMI.2011.2171192

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：525 / 532

页数：8

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