NDLI: Imaging Human Head Conductivity Distribution by Means of MREIT

Content Provider	IEEE Xplore Digital Library
Author	Dandan Yan Xiaotong Zhang Nuo Gao Shanan Zhu Bin He
Copyright Year	2007
Description	Author affiliation: Zhejiang Univ., Hangzhou (Dandan Yan; Xiaotong Zhang)
Abstract	Magnetic resonance electrical impedance tomography (MREIT) is a new and non-invasive conductivity imaging modality, which combines the current density imaging (CDI) and the traditional electrical impedance tomography (EIT) techniques. MREIT, motivated to deal with the well-known ill-posed problem in the traditional EIT, has been applied to reconstruct the conductivities of human head tissues with higher accuracy and spatial resolution. This paper reviews the works of our MREIT research group in the past several years. We have developed several algorithms on imaging of head tissues including scalp, skull, brain (CSF, gray matter, white matter) with homogeneous and inhomogeneous conductivity distributions. We used RBF-MREIT, RSM-MREIT and ANFIS-MREIT algorithms to estimate the head tissue conductivities including anisotropic white matter characteristics. Furthermore, we have utilized the two-step MREIT algorithm and the 3-D algebraic reconstruction algorithm based on two components of the magnetic flux density to estimate inhomogeneous conductivities of human head. Simulation studies on the concentric three-spheres and realistic geometry head model demonstrated that the proposed algorithms could reconstruct the homogeneous and inhomogeneous human head tissue conductivity distributions with high resolution. Our work so far suggests that the proposed MREIT algorithms could provide useful conductivity information for solving the EEG/MEG forward/inverse problems, and merit further investigation.
Starting Page	205
Ending Page	208
File Size	2804953
Page Count	4
File Format	PDF
ISBN	9781424409488
DOI	10.1109/NFSI-ICFBI.2007.4387729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Magnetic resonance imaging Humans High-resolution imaging Conductivity Tomography Brain modeling Magnetic heads Impedance Image reconstruction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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