Anisotropic Conductivity Imaging with MREIT Using J-substitution and Hybrid J-substitution Algorithms

Date

2009-09-12

Author

Degirmenci, E.
Eyüboğlu, Behçet Murat

Metadata

Show full item record

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

Item Usage Stats

82
views

0
downloads

Magnetic Resonance Electrical Impedance Tomography (MREIT) is a tomographical imaging technique which uses measurements of magnetic flux density induced by a probing current to reconstruct electrical conductivity distribution within a conductor object with magnetic resonance active nuclei. In this study, two novel anisotropic conductivity reconstruction algorithms for MREIT are proposed. The technique is evaluated with simulated measurements.

Subject Keywords

Magnetic resonance, MREIT, Anisotropic Conductivity, Imaging, Tomography

URI

https://hdl.handle.net/11511/54480

Conference Name

11th International Congress of the IUPESM/World Congress on Medical Physics and Biomedical

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Anisotropic conductivity imaging with MREIT using equipotential projection algorithm DEĞİRMENCİ, EVREN; Eyüboğlu, Behçet Murat (2007-09-02) Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging technique which combines boundary potential measurements of electrical impedance tomography (EIT) and internal current density distribution obtained from magnetic resonance imaging (MRI) to produce conductivity images having high spatial resolution and accuracy. In this study, a novel method of reconstructing images of anisotropic conductivity tensor distribution inside an electrically conducting subject is proposed for MREI...
Magnetic Resonance Electrical Impedance Tomography For Anisotropic Conductivity Imaging Degirmenci, E.; Eyüboğlu, Behçet Murat (2008-11-27) Magnetic Resonance Electrical Impedance Tomography (MREIT) brings high resolution imaging of true conductivity distribution to reality. MREIT images are reconstructed based on measurements of current density distribution and a surface potential value, induced by an externally applied current flow. Since biological tissues may be anisotropic, isotropic conductivity assumption, as it is adopted in most of MREIT reconstruction algorithms, introduces reconstruction inaccuracy. In this study, a novel algorithm i...
Induced Current Magnetic Resonance Electrical Impedance Tomography with z-Gradient Coil Eroglu, Hasan H.; Eyuboglu, Murat (2014-08-30) Magnetic Resonance Electrical Impedance Tomography (MREIT) is a medical imaging method that provides images of electrical conductivity at low frequencies (0-1 kHz). In MREIT, electrical current is applied to the body via surface electrodes and corresponding magnetic flux density is measured by means of Magnetic Resonance (MR) phase imaging techniques. By utilizing the magnetic flux density measurements and surface potential measurements images of true conductivity distribution can be reconstructed. In order...
Practical Realization of Magnetic Resonance Conductivity Tensor Imaging (MRCTI) DEĞİRMENCİ, EVREN; Eyüboğlu, Behçet Murat (2013-03-01) Magnetic resonance conductivity tensor imaging (MRCTI) is an emerging modality which reconstructs images of anisotropic conductivity distribution within a volume conductor. Images are reconstructed based on magnetic flux density distribution induced by an externally applied probing current, together with a resultant surface potential value. The induced magnetic flux density distribution is measured using magnetic resonance current density imaging techniques. In this study, MRCTI data acquisition is experime...
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...

Citation Formats

E. Degirmenci and B. M. Eyüboğlu, “Anisotropic Conductivity Imaging with MREIT Using J-substitution and Hybrid J-substitution Algorithms,” Munich, GERMANY, 2009, vol. 25, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54480.