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Anisotropic conductivity imaging with MREIT using equipotential projection algorithm
Date
2007-12-21
Author
DEĞİRMENCİ, EVREN
Eyüboğlu, Behçet Murat
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Magnetic resonance electrical impedance tomography (MREIT) combines magnetic flux or current density measurements obtained by magnetic resonance imaging (MRI) and surface potential measurements to reconstruct images of true conductivity with high spatial resolution. Most of the biological tissues have anisotropic conductivity; therefore, anisotropy should be taken into account in conductivity image reconstruction. Almost all of the MREIT reconstruction algorithms proposed to date assume isotropic conductivity distribution. In this study, a novel MREIT image reconstruction algorithm is proposed to image anisotropic conductivity. Relative anisotropic conductivity values are reconstructed iteratively, using only current density measurements without any potential measurement. In order to obtain true conductivity values, only either one potential or conductivity measurement is sufficient to determine a scaling factor. The proposed technique is evaluated on simulated data for isotropic and anisotropic conductivity distributions, with and without measurement noise. Simulation results show that the images of both anisotropic and isotropic conductivity distributions can be reconstructed successfully.
Subject Keywords
Radiological and Ultrasound Technology
,
Radiology Nuclear Medicine and imaging
URI
https://hdl.handle.net/11511/48895
Journal
PHYSICS IN MEDICINE AND BIOLOGY
DOI
https://doi.org/10.1088/0031-9155/52/24/003
Collections
Department of Electrical and Electronics Engineering, Article