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Reconstruction of apparent orthotropic conductivity tensor image using magnetic resonance electrical impedance tomography
2. G. C. Scott, M. L. G. Joy, R. L. Armstrong, and R. M. Henkelman, “ Measurement of nonuniform current density by magnetic resonance,” IEEE Trans. Med. Imaging 10, 362–374 (1991).
3. M. L. G. Joy, “ MR current density and conductivity imaging: the state of the art,” in Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, USA (2004), p. 5315–5319.
4. O. I. Kwon, E. J. Woo, J. R. Yoon, and J. K. Seo, “ Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm,” IEEE Trans. Biomed. Eng. 49, 160–167 (2002).
5. H. S. Nam, B. I. Lee, J. Choi, C. Park, and O. I. Kwon, “ Conductivity imaging with low level current injection using transversal J-substitution algorithm in MREIT,” Phys. Med. Biol. 52, 6717–6730 (2007).
6. O. Birgul, B. M. Eyuboglu, and Y. Z. Ider, “ Current constrained voltage scaled reconstruction (CCVSR) algorithm for MR-EIT and its performance with different probing current patterns,” Phys. Med. Biol. 48, 653–671 (2003).
7. O. I. Kwon, J. Y. Lee, and J. R. Yoon, “ Equipotential line method for magnetic resonance electrical impedance tomography (MREIT),” Inverse Problems 18, 1089–1100 (2002).
8. Y. Z. Ider, S. Onart, and W. R. B. Lionheart, “ Uniqueness and reconstruction in magnetic resonance-electrical impedance tomography(MR-EIT),” Physiol. Meas. 24, 591–604 (2003).
10. Y. Z. Ider and O. Birgul, “ Use of the magnetic field generated by the internal distribution of injected currents for Electrical Impedance Tomography (MR-EIT),” Elektrik 6, 215–225 (1998).
11. B. I. Lee, S. H. Oh, E. J. Woo, S. Y. Lee, M. H. Cho, O. I. Kwon, J. K. Seo, J. Y. Lee, and W. S. Baek, “ Three-dimensional forward solver and its performance analysis in magnetic resonance electrical impedance tomography (MREIT) using recessed electrodes,” Phys. Med. Biol. 48, 1971–1986 (2003).
12. S. H. Oh, B. I. Lee, E. J. Woo, S. Y. Lee, M. H. Cho, O. I. Kwon, and J. K. Seo, “ Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography,” Phys. Med. Biol. 48, 3101–3116 (2003).
13. J. K. Seo, J. R. Yoon, E. J. Woo, and O. I. Kwon, “ Reconstruction of conductivity and current density images using only one component of magnetic field measurements,” IEEE Trans. Biomed. Eng. 50, 1121–1124 (2003).
15. L. Muftuler, M. Hamamura, O. Birgul, and O. Nalcioglu, “ Resolution and contrast in magnetic resonance electrical impedance tomography (MREIT) and its application to cancer imaging,” Tech. Cancer Res. Treat. 3, 599–609 (2004).
16. B. I. Lee, S. H. Lee, T. S. Kim, and O. I. Kwon, “ Harmonic decomposition in PDE-based denoising technique for magnetic resonance electrical impedance tomography,” IEEE Trans. Biomed. Eng. 52, 1912–1920 (2005).
18. N. Gao, S. A. Zhu, and B. He, “ A new magnetic resonance electrical impedance tomography (MREIT) algorithm: the RSM-MREIT algorithm with applications to estimation of human head conductivity,” Phys. Med. Biol. 51, 3067–3083 (2006).
19. H. J. Kim, T. I. Oh, Y. T. Kim, B. I. Lee, E. J. Woo, J. K. Seo, S. Y. Lee, O. I. Kwon, C. Park, B. T. Kang, and H. M. Park, “ In vivo electrical conductivity imaging of a canine brain using a 3 T MREIT system,” Physiol. Meas. 29, 1145–1155 (2008).
21. Y. J. Kim, O. Kwon, J. K. Seo, and E. J. Woo, “ Uniqueness and convergence of conductivity image reconstruction in magnetic resonance electrical impedance tomography,” Inverse Problems 19, 1213–1225 (2003).
22. H. S. Nam and O. I. Kwon, “ Identification of current density distribution in electrically conducting object with anisotropic conductivity distribution,” Phys. Med. Biol. 50, 3183–3196 (2005).
23. J. K. Seo, H. C. Pyo, C. Park, O. I. Kwon, and E. J. Woo, “ Image reconstruction of anisotropic conductivity tensor distribution in MREIT: computer simulation study,” Phys. Med. Biol. 49, 4371–4382 (2004).
26. E. Degimenci and B. M. Eyuboglu, “ Image reconstruction in magnetic resonance conductivity tensor imaging (MRCTI),” IEEE Trans. Med. Imaging 31, 525–532 (2012).
27. C. Park, B. I. Lee, and O. I. Kwon, “ Analysis of recoverable current from one component of magnetic flux density in MREIT and MRCDI,” Phys. Med. Biol. 52, 3001–3013 (2007).
28. H. J. Kim, Y. T. Kim, A. S. Minhas, W. C. Jeong, E. J. Woo, J. K. Seo, and O. J. Kwon, “ In vivo high-resolution conductivity imaging of the human leg using MREIT: the first human experiment,” IEEE Trans. Med. Imaging 28, 1681–1687 (2009).
29. T. H. Lee, H. S. Nam, M. G. Lee, Y. J. Kim, E. J. Woo, and O. I. Kwon, “ Reconstruction of conductivity using the dual-loop method with one injection current in MREIT,” Phys. Med. Biol. 55, 7523–7539 (2010).
30. C. Park, B. I. Lee, O. I. Kwon, and E. J. Woo, “ Measurement of induced magnetic flux density using injection current nonlinear encoding(ICNE) in MREIT,” Physiol. Meas. 28, 117–127 (2007).
32. R. Sadleir, S. Grant, S. U. Zhang, B. I. Lee, H. C. Pyo, S. H. Oh, C. Park, E. J. Woo, S. Y. Lee, O. I. Kwon, and J. K. Seo, “ Noise analysis in magnetic resonance electrical impedance tomography at 3 and 11 tesla field strength,” Physiol. Meas. 26, 875–884 (2005).
36. H. S. Nam, C. Park, and O. I. Kwon, “ Non-iterative conductivity reconstruction algorithm using projected current density in MREIT,” Phys. Med. Biol. 53, 6947–6961 (2008).
37. T. I. Oh, Y. T. Kim, A. Minhas, J. K. Seo, O. I. Kwon, and E. J. Woo, “ Ion mobility imaging and contrast mechanism of apparent conductivity in MREIT,” Phys. Med. Biol. 56, 2265–2277 (2011).
38. M. Ozdemir, B. M. Eyuboglu, and O. Ozbek, “ Equipotential projection-based magnetic resonance electrical impedance tomography and experimental realization,” Phys. Med. Biol. 49, 4765–4783 (2004).
39. D. S. Tuch, V. J. Wedeen, A. M. Dale, J. S. George, and J. W. Belliveau, “ Conductivity tensor mapping of the human brain using diffusion tensor,” Proc. Natl. Acad. Sci. USA 98, 11697–11701 (2001).
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Magnetic resonance electrical impedance tomography visualizes current density and/or conductivity distributions inside an electrically conductive object. Injecting currents into the imaging object along at least two different directions, induced magnetic flux density data can be measured using a magnetic resonance imaging scanner. Without rotating the object inside the scanner, we can measure only one component of the magnetic flux density denoted as Bz. Since the biological tissues such as skeletal muscle and brain white matter show strong anisotropic properties, the reconstruction of anisotropic
tensor is indispensable for the accurate observations in the biological systems. In this paper, we propose a direct method to reconstruct an axial apparent orthotropic conductivity
tensor by using multiple Bz data subject to multiple injection currents. To investigate the anisotropic
conductivity properties, we first recover the internal current density from the measured Bz data. From the recovered internal current density and the curl-free condition of the electric field, we derive an over-determined matrix system for determining the internal absolute orthotropic conductivity
tensor. The over-determined matrix system is designed to use a combination of two loops around each pixel. Numerical simulations and phantom experimental results demonstrate that the proposed algorithm stably determines the orthotropic conductivity
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