Conductivity imaging of canine brain using a 3 T MREIT system: postmortem experiments

Magnetic resonance electrical impedance tomography (MREIT) has the potential to provide conductivity images with high spatial resolution and accuracy. Recent studies using various conductivity phantoms showed that the spatial resolution could be similar to that of conventional MR images as long as enough current is injected. Before we try in vivo animal imaging studies using a small injection current of less than 5 mA, we have performed MREIT conductivity imaging of postmortem canine brains using 40 mA injection currents. The primary goals were to produce high-resolution conductivity images of white and gray matter in situ and to accumulate experimental techniques to undertake in vivo animal imaging studies in the near future. Reconstructed conductivity images of two canine brains with a pixel size of 1.4 x 1.4 mm(2) showed a clear conductivity contrast between gray and white matter. Considering the anisotropic conductivity of white matter, we interpreted reconstructed conductivity images as equivalent isotropic conductivity images. Estimated conductivity ratios of white to gray matter were between 1.13 and 1.20 depending on the choice of a region of interest in reconstructed images. A higher conductivity value of white matter compared with that of gray matter stems from the fact that the reconstructed equivalent isotropic conductivity value of white matter reflects a high conductivity of white matter in the direction parallel to its fibers. We expect that this kind of postmortem animal imaging can provide conductivity information on tissues in situ to be utilized in numerous modeling studies.

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

[2]  J. Latikka,et al.  Conductivity of living intracranial tissues. , 2001, Physics in medicine and biology.

[3]  Bin He,et al.  A new magnetic resonance electrical impedance tomography (MREIT) algorithm: the RSM-MREIT algorithm with applications to estimation of human head conductivity , 2006, Physics in medicine and biology.

[4]  Y Ziya Ider,et al.  Algebraic reconstruction for 3D magnetic resonance-electrical impedance tomography (MREIT) using one component of magnetic flux density. , 2004, Physiological measurement.

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

[6]  L. Geddes,et al.  The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist , 1967, Medical and biological engineering.

[7]  Ohin Kwon,et al.  Electrical conductivity imaging using gradient Bz decomposition algorithm in magnetic resonance electrical impedance tomography (MREIT) , 2004, IEEE Trans. Medical Imaging.

[8]  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.

[9]  Y. Birgül,et al.  Use of the Magnetic Field Generated by the Internal Distribution of Injected Currents for Electrical Impedance Tomography (MR-EIT) , 1998 .

[10]  Ohin Kwon,et al.  Image reconstruction of anisotropic conductivity tensor distribution in MREIT: computer simulation study. , 2004, Physics in medicine and biology.

[11]  Byung Il Lee,et al.  Noise analysis in magnetic resonance electrical impedance tomography at 3 and 11 T field strengths. , 2005, Physiological measurement.

[12]  L. Garosi,et al.  Ischaemic stroke in dogs and humans: a comparative review. , 2005, The Journal of small animal practice.

[13]  M.L.G. Joy MR current density and conductivity imaging: the state of the Aart , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

[15]  Byung Il Lee,et al.  Phase artefact reduction in magnetic resonance electrical impedance tomography (MREIT). , 2006, Physics in medicine and biology.

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

[17]  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.

[18]  Bin He,et al.  Estimation of electrical conductivity distribution within the human head from magnetic flux density measurement. , 2005, Physics in medicine and biology.

[19]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[21]  Ozlem Birgul,et al.  Contrast and spatial resolution in MREIT using low amplitude current , 2006, Physics in medicine and biology.

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

[23]  Sartaj Sahni,et al.  Leaf sequencing algorithms for segmented multileaf collimation. , 2003, Physics in medicine and biology.

[24]  R. W. Lau,et al.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. , 1996, Physics in medicine and biology.

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

[26]  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.

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

[28]  Harmonic decomposition in PDE-based denoising technique for magnetic resonance electrical impedance tomography , 2005, IEEE Transactions on Biomedical Engineering.

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

[30]  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.

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