Practical Realization of Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

Date

2013-03-01

Author

DEĞİRMENCİ, EVREN
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

241
views

0
downloads

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 experimentally implemented and anisotropic conductivity images of test phantoms are reconstructed using recently proposed MRCTI reconstruction algorithms.

Subject Keywords

Anisotropic Conductivity, Conductivity Tensor, Electrical İmpedance, İmaging, Magnetic Resonance, Reconstruction, Tomography

URI

https://hdl.handle.net/11511/48205

Journal

IEEE TRANSACTIONS ON MEDICAL IMAGING

DOI

https://doi.org/10.1109/tmi.2012.2231872

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

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...
Anisotropic Conductivity Imaging with MREIT Using J-substitution and Hybrid J-substitution Algorithms Degirmenci, E.; Eyüboğlu, Behçet Murat (2009-09-12) 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.
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...
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...
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...

Citation Formats

E. DEĞİRMENCİ and B. M. Eyüboğlu, “Practical Realization of Magnetic Resonance Conductivity Tensor Imaging (MRCTI),” IEEE TRANSACTIONS ON MEDICAL IMAGING, pp. 601–608, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48205.