DocumentCode
53336
Title
Electrical Tissue Property Imaging at Low Frequency Using MREIT
Author
Jin Keun Seo ; Eung Je Woo
Author_Institution
Dept. of Comput. Sci. & Eng., Yonsei Univ., Seoul, South Korea
Volume
61
Issue
5
fYear
2014
fDate
May-14
Firstpage
1390
Lastpage
1399
Abstract
The tomographic imaging of tissue´s electrical properties (e.g., conductivity and permittivity) has been greatly improved by recent developments in magnetic resonance (MR) imaging techniques, which include MR electrical impedance tomography (MREIT) and electrical property tomography. When the biological material is subjected to an external electric field, local changes in its electrical properties become sources of magnetic field perturbations, which are detectable by the MR signals. Controlling the external excitation and measuring the responses using an MRI scanner, we can formulate the imaging problem as an inverse problem in which unknown tissue properties are recovered from the acquired MR signals. This inverse problem is nonlinear; it involves the incorporation of Maxwell´s equations and Bloch equations during data acquisition. Each method for visualizing internal conductivity and permittivity distributions has its own methodological limitations, and is restricted to imaging only a part of the ensemble or mean tissue structures or states. Therefore, imaging methods can be improved by developing complementary methods that can employ the beneficial aspects of various existing techniques. This paper focuses on recent progress in MREIT and discusses its distinct features in comparison with other imaging methods.
Keywords
Maxwell equations; bioelectric phenomena; biological tissues; biomedical MRI; data acquisition; electric impedance imaging; electrical conductivity; inverse problems; medical image processing; permittivity; Bloch equations; MR electrical impedance tomography; MR signal acquisition; MREIT; MRI scanner; Maxwell equations; biological material; data acquisition; electrical conductivity; electrical property tomography; electrical tissue property imaging; external electric field; external excitation; internal conductivity visualization; inverse problem; magnetic field perturbations; magnetic resonance imaging; permittivity; permittivity distributions; tissue states; tissue structures; Conductivity; Current measurement; Electrodes; Magnetic resonance imaging; Tomography; Voltage measurement; Conductivity; MRI; electrical impedance tomography (EIT); magnetic resonance electrical impedance tomography (MREIT);
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2014.2298859
Filename
6705619
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