Experimental results for 2D magnetic resonance electrical impedance tomography (MR-EIT) using magnetic flux density in one direction
Date
2003Source Title
Physics in Medicine and Biology
Print ISSN
0031-9155
Publisher
Institute of Physics Publishing
Volume
48
Issue
21
Pages
3485 - 3504
Language
English
Type
ArticleItem Usage Stats
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Abstract
Magnetic resonance electrical impedance tomography (MR-EIT) is an emerging imaging technique that reconstructs conductivity images using magnetic flux density measurements acquired employing MRI together with conventional EIT measurements. In this study, experimental MR-EIT images from phantoms with conducting and insulator objects are presented. The technique is implemented using the 0.15 T Middle East Technical University MRI system. The dc current method used in magnetic resonance current density imaging is adopted. A reconstruction algorithm based on the sensitivity matrix relation between conductivity and only one component of magnetic flux distribution is used. Therefore, the requirement for object rotation is eliminated. Once the relative conductivity distribution is found, it is scaled using the peripheral voltage measurements to obtain the absolute conductivity distribution. Images of several insulator and conductor objects in saline filled phantoms are reconstructed. The L2 norm of relative error in conductivity values is found to be 13%, 17% and 14% for three different conductivity distributions.
Keywords
Current densityElectric conductivity
Electric conductors
Electric insulators
Electric potential
Magnetic flux
Magnetic resonance
Magnetic resonance imaging
Magnetic impedance
Electric impedance tomography
Sodium chloride
Algorithm
Analytical error
Calculation
Controlled study
Density
Electric current
Electric potential
Finite element analysis
Image reconstruction
Impedance
Magnetic field
Measurement
Nuclear magnetic resonance imaging
Sensitivity analysis
Signal noise ratio
Tomography
Electric Impedance
Image Enhancement
Reproducibility of Results
Sensitivity and Specificity
Permalink
http://hdl.handle.net/11693/24405Published Version (Please cite this version)
http://dx.doi.org/10.1088/0031-9155/48/21/003Collections
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