COMPARISON OF MAGNETIC RESONANCE ELECTRICAL IMPEDANCE TOMOGRAPHY (MREIT) RECONSTRUCTION ALGORITHMS

Date

2010-04-17

Author

Eyüboğlu, Behçet Murat
Boyacioglu, Rasim
Degirmenci, Evren
Eker, Gokhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

146
views

0
downloads

Several algorithms have been proposed for image reconstruction in MREIT. These algorithms reconstruct conductivity distribution either directly from magnetic flux density measurements or from reconstructed current density distribution. In this study, performance of all major algorithms are evaluated and compared on a common platform, in terms of their reconstruction error, reconstruction time, perceptual image quality, immunity against measurement noise, required electrode size. J-Substitution (JS) and Hybrid J-Substitution algorithms have the best reconstruction accuracy but they are among the slowest. Another current density based algorithm, Equipotential Projection (EPP) algorithm along with magnetic flux density based B(z) Sensitivity (BzS) algorithm has moderate reconstruction accuracy. BzS algorithm is the fastest.

Subject Keywords

Magnetic resonance, Imaging, Tomography, Electrical impedance, Conductivity

URI

https://hdl.handle.net/11511/52861

Conference Name

7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI) DEĞİRMENCİ, EVREN; Eyüboğlu, Behçet Murat (2012-03-01) 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...
New technique for high resolution absolute conductivity imaging using magnetic resonance-electrical impedance tomography (MR-EIT) Birgul, O; Eyüboğlu, Behçet Murat; Ider, YZ (2001-02-22) A novel MR-EIT imaging modality has been developed to reconstruct high-resolution conductivity images with true conductivity value. In this new technique, electrical impedance tomography (EIT) and magnetic resonance imaging (MRI) techniques are simultaneously used. Peripheral voltages are measured using EIT and magnetic flux density measurements are determined using MRI. The image reconstruction algorithm used is an iterative one, based on minimizing the difference between two current density distributions ...
Analysis of reconstruction performance of magnetic resonance conductivity tensor imaging (MRCTI) using simulated measurements DEĞİRMENCİ, EVREN; Eyüboğlu, Behçet Murat (2017-01-01) Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues. Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques. MRCTI reconstructs tensor images of anisotropic conductivity whereas MREIT reconstructs isotropic conductivity images. In this study, spatial resolution and linearity of five rec...
Magnetic Resonance - Electrical Impedance Tomography (MR-EIT) Research at METU Eyüboğlu, Behçet Murat (2006-09-01) Following development of magnetic resonance current density imaging (MRCDI), magnetic resonance - electrical impedance tomography (MR-EIT) has emerged as a promising approach to produce high resolution conductivity images. Electric current applied to a conductor results in a potential field and a magnetic flux density distribution. Using a magnetic resonance imaging (MRI) system, the magnetic flux density distribution can be reconstructed as in MRCDI. The flux density is related to the current density distr...
Equipotential projection based magnetic resonance electrical impedance tomography (mr-eit) for high resolution conductivity imaging Özdemir, Mahir Sinan; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2003) In this study, a direct reconstruction algorithm for Magnetic Resonance Electrical Impedance Tomography (MR-EIT) is proposed and experimentally implemented for high resolution true conductivity imaging. In MR-EIT, elec trical impedance tomography (EIT) and magnetic resonance imaging (MRI) are combined together. Current density measurements are obtained making use of Magnetic Resonance Current Density Imaging (MR-CDI) techniques and peripheral potential measurements are determined using conventional EIT tech...

Citation Formats

B. M. Eyüboğlu, R. Boyacioglu, E. Degirmenci, and G. Eker, “COMPARISON OF MAGNETIC RESONANCE ELECTRICAL IMPEDANCE TOMOGRAPHY (MREIT) RECONSTRUCTION ALGORITHMS,” presented at the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, NETHERLANDS, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52861.