J-based Magnetic Resonance Conductivity Tensor Imaging (MRCTI) at 3 T

Date

2014-08-30

Author

Sadighi, M.
Goksu, C.
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

131
views

0
downloads

In this study, current density (J) - based Magnetic Resonance Conductivity Tensor Imaging (MRCTI) reconstruction algorithms namely, the Anisotropic Equipotential Projection (AEPP), the Anisotropic J-Substitution (AJS) and the Anisotropic Hybrid J-Substitution (AHJS) algorithms are implemented to reconstruct conductivity tensor images of a physical phantom using a 3T magnetic resonance imaging system. 10mA current pulses are injected in synchrony with a conventional spin-echo pulse sequence. Furthermore, a new J-based hybrid algorithm namely, the Anisotropic Hybrid Equipotential Projection (AHEPP) is proposed. In addition, reconstruction performances of the four algorithms are evaluated.

Subject Keywords

Magnetic resonance, Imaging, Conductivity tensor imaging, Anisotropic conductivity imaging

URI

https://hdl.handle.net/11511/54726

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

J-Substitution and Filtered Equipotential-Projection Based Hybrid MREIT Reconstruction Algorithm Boyacioglu, Rasim; Eyüboğlu, Behçet Murat (2009-09-12) Magnetic Resonance Electrical Impedance Tomography (MREIT) reconstructs true conductivity images by using current density distribution and surface potential measurements. In this study, equipotential projection [1] and J-substitution image reconstruction [2] algorithms for MREIT are compared. A novel reconstruction method, J-substitution and filtered equipotential-projection based hybrid reconstruction algorithm, is proposed. In this method, the image reconstructed with equipotential projection algorithm is...
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...
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...
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...

Citation Formats

M. Sadighi, C. Goksu, and B. M. Eyüboğlu, “J-based Magnetic Resonance Conductivity Tensor Imaging (MRCTI) at 3 T,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54726.