Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

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,...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2012-03, Vol.31 (3), p.525-532
Main Authors: Degirmenci, E., Eyuboglu, B. M.
Format: Article
Language:English
Subjects:
Algorithms
Anisotropic conductivity
Anisotropy
Computer Simulation
Conductivity
Current density
Density measurement
Electric Conductivity
Electric Impedance
electrical impedance
Electrodes
Equations
Image Processing, Computer-Assisted - methods
Image reconstruction
imaging
magnetic resonance
Magnetic Resonance Imaging - methods
Mathematical model
Models, Biological
reconstruction
tensor
tomography
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Description
Summary: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.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2011.2171192