Electrical conductivity imaging of lower extremities using MREIT: Postmortem swine and in vivo human experiments

Cross-sectional conductivity images of lower extremities were reconstructed using Magnetic Resonance Electrical Impedance Tomography (MREIT) techniques. Carbon-hydrogel electrodes were adopted for postmortem swine and in vivo human imaging experiments. Due to their large surface areas and good contacts on the skin, we could inject as much as 10 mA into the lower extremities of human subjects without producing a painful sensation. Using a 3T MREIT system, we first performed a series of postmortem swine experiments and produced high-resolution conductivity images of swine legs. Validating the experimental protocol for the lower extremities, we revised it for the following human experiments. After the review of the Institutional Review Board (IRB), we conducted our first MREIT experiments of human subjects using the same 3T MREIT system. Collecting magnetic flux density data inside lower extremities subject to multiple injection currents, we reconstructed cross-sectional conductivity images using the harmonic Bz algorithm. The conductivity images very well distinguished different parts of muscles inside the lower extremities. The outermost fatty layer was clearly shown in each conductivity image. We could observe severe noise in the outer layer of the bones primarily due to the MR signal void phenomenon there. Reconstructed conductivity images indicated that the internal regions of the bones have relatively high conductivity values. Future study is desired in terms of the conductivity image reconstruction algorithm to improve the image quality. Further human imaging experiments are planned and being conducted to produce high-resolution conductivity images from different parts of the human body.

[1]  Byung Il Lee,et al.  In vivo electrical conductivity imaging of a canine brain using a 3 T MREIT system , 2008, Physiological measurement.

[2]  Ohin Kwon,et al.  Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm , 2002, IEEE Transactions on Biomedical Engineering.

[3]  William R B Lionheart,et al.  Uniqueness and reconstruction in magnetic resonance-electrical impedance tomography (MR-EIT). , 2003, Physiological measurement.

[4]  Byung Il Lee,et al.  Conductivity imaging of canine brain using a 3 T MREIT system: postmortem experiments , 2007, Physiological measurement.

[5]  Ohin Kwon,et al.  Static conductivity imaging using variational gradient Bz algorithm in magnetic resonance electrical impedance tomography. , 2004, Physiological measurement.

[6]  Y. Z. Ider,et al.  Experimental results for 2D magnetic resonance electrical impedance tomography (MR-EIT) using magnetic flux density in one direction. , 2003, Physics in medicine and biology.

[7]  Byung Il Lee,et al.  Electrical conductivity images of biological tissue phantoms in MREIT. , 2005, Physiological measurement.

[8]  Ohin Kwon,et al.  Reconstruction of conductivity and current density images using only one component of magnetic field measurements , 2003, IEEE Transactions on Biomedical Engineering.

[9]  B Murat,et al.  Current constrained voltage scaled reconstruction (CCVSR) algorithm for MR-EIT and its performance with different probing current patterns , 2003 .

[10]  R M Henkelman,et al.  Measurement of nonuniform current density by magnetic resonance. , 1991, IEEE transactions on medical imaging.

[11]  Byung Il Lee,et al.  High field MREIT: setup and tissue phantom imaging at 11 T , 2006, Physiological measurement.

[12]  Tobias Voigt,et al.  Electrical conductivity imaging using magnetic resonance tomography , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Ozlem Birgul,et al.  Resolution and Contrast in Magnetic Resonance Electrical Impedance Tomography (MREIT) and its Application to Cancer Imaging , 2004, Technology in cancer research & treatment.

[14]  Ohin Kwon,et al.  Magnetic resonance electrical impedance tomography at 3 tesla field strength , 2004, Magnetic resonance in medicine.

[15]  R. Henkelman,et al.  Sensitivity of magnetic-resonance current-density imaging , 1992 .

[16]  Byung Il Lee,et al.  Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography. , 2003, Physics in medicine and biology.

[17]  Byung Il Lee,et al.  Measurement of induced magnetic flux density using injection current nonlinear encoding (ICNE) in MREIT. , 2007, Physiological measurement.

[18]  Eung Je Woo,et al.  Impedance tomography using internal current density distribution measured by nuclear magnetic resonance , 1994, Optics & Photonics.