Generalized Phase based Electrical Conductivity Imaging
Necip Gurler1 and Yusuf Ziya Ider1

1Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey

Synopsis

In this study, a new formulation for phase based electrical properties tomography (EPT) has been proposed to eliminate the boundary artifact issue and to provide robustness against noise. The feasibility of the proposed method, which is called "generalized phase based EPT", has been demonstrated using simulation, experimental phantom, and in vivo experiments.

Introduction

It has been shown that electrical conductivity ($$$\sigma$$$) can be imaged using only MR phase1-3, without B1-mapping. This approach (called “phase based EPT”) also does not use the transceive phase assumption (TPA), i.e. approximating the transmit phase as half of the transceive phase, and therefore, it can be used for any transmit-receive coil configuration. With these advantages, phase based EPT seems to be the most suitable EPT method for clinical applications. However, in its current form, boundary artifact and low SNR issues precludes the practical application of this method. In this study, we have proposed a new formulation for phase based EPT (called “generalized phase based EPT”) to eliminate the boundary artifact and to provide robustness against noise. We have demonstrated the feasibility of the proposed method using simulation, phantom, and in vivo experiments.

Theory

Convection-reaction equation based MREPT (cr-MREPT) formula4-5 can be written in its logarithm form as

$$$\beta^{\pm }\cdot\nabla\ln(\gamma)-\nabla^{2}B^{\pm}_{1}+i\omega\mu_{0}\gamma{B^{\pm}_{1}}=0$$$

where $$$γ=σ+iωϵ$$$,$$$∇ln(γ)=\begin{bmatrix}∂ln(γ)/∂x\\∂ln(γ)/∂y\\∂ln(γ)/∂z\end{bmatrix}$$$,$$$\beta^{\pm}=\begin{bmatrix}\frac{\partial{B^{\pm }_{1}}}{\partial{x}}\mp{i}\frac{\partial{B^{\pm}_{1}}}{\partial{y}}+\frac{1}{2} \frac{\partial{B_{z}}}{\partial{z}}\\\pm{i}\frac{\partial{B^{\pm}_{1}}}{\partial{x}}+\frac{\partial{B^{\pm}_{1}}}{\partial{y}}\pm{i}\frac{1}{2}\frac{\partial{B_{z}}}{\partial{z}}\\-\frac{1}{2}\frac{\partial{B_{z}}}{\partial{x}}\mp{i}\frac{1}{2}\frac{\partial B_{z}}{\partial{y}}+\frac{\partial{B^{\pm }_{1}}}{\partial{z}}\end{bmatrix}$$$

Substituting $$$B^{\pm}_{1}=\left|B^{\pm}_{1}\right|e^{i\phi^{\pm}}$$$ in the above equation, and assuming $$$\nabla\left|B^{\pm}_{1}\right|=0 $$$ yield transmit (or receive) phase based EPT formula

$$$\Omega^{\pm }\cdot\nabla\ln(\gamma)+(((\frac{\partial{\phi^{\pm}}}{\partial{x}})^2+(\frac{\partial{\phi^{\pm}}}{\partial{y}})^2+(\frac{\partial{\phi^{\pm}}}{\partial{z}})^2)-i\nabla^{2}\phi^{\pm})+i\omega\mu_{0}\gamma=0$$$

where $$$\Omega^{\pm}=\begin{bmatrix}{i}\frac{\partial{{\phi^{\pm}}}}{\partial{x}}\pm\frac{\partial{\phi^{\pm}}}{\partial{y}}\\\mp\frac{\partial{\phi^{\pm}}}{\partial{x}}+i\frac{\partial{\phi^{\pm}}}{\partial{y}}\\+i\frac{\partial{\phi^{\pm}}}{\partial{z}}\end{bmatrix}+\frac{1}{B^{\pm}_{1}}\begin{bmatrix}\frac{1}{2} \frac{\partial{B_{z}}}{\partial{z}}\\\pm{i}\frac{1}{2}\frac{\partial{B_{z}}}{\partial{z}}\\-\frac{1}{2}\frac{\partial{B_{z}}}{\partial{x}}\mp{i}\frac{1}{2}\frac{\partial B_{z}}{\partial{y}}\end{bmatrix}$$$

Assuming the gradients of Bz are negligible compared to $$$B^{\pm}_{1}$$$, the second term of $$$\Omega^{\pm}$$$ can be neglected compared to the first term. The rest are the transmit (or receive) phase components, which cannot be measured directly via MRI. To obtain the equation in terms of measurable transceive phase, i.e. $$$\phi^{tr}=\phi^{+}+\phi^{-}$$$, we can sum the transmit and receive phase based formulae, and this gives us

$$$\begin{bmatrix}{i}\frac{\partial{{\phi^{tr}}}}{\partial{x}}+\frac{\partial{(\phi^{+}-\phi^{-})}}{\partial{y}}\\-\frac{\partial{(\phi^{+}-\phi^{-})}}{\partial{x}}+i\frac{\partial{\phi^{tr}}}{\partial{y}}\\+i\frac{\partial{\phi^{tr}}}{\partial{z}}\end{bmatrix}\cdot\begin{bmatrix}∂ln(γ)/∂x\\∂ln(γ)/∂y\\∂ln(γ)/∂z\end{bmatrix}+(k_{real}-i\nabla^{2}\phi^{tr})+i2\omega\mu_{0}\gamma=0$$$

where $$$k_{real}$$$ has no imaginary components. Writing only the imaginary terms, which are related with the conductivity, and assuming that $$$\sigma^2\gg(\omega\epsilon)^2$$$ yields

$$$(\nabla\phi^{tr}\cdot\nabla\rho)+\nabla^{2}\phi^{tr}\rho-2\omega\mu_0=0$$$

where $$$\rho=\frac{1}{\sigma}$$$ (resistivity). This equation is in the form of convection-reaction-diffusion equation, and the coefficients are solely based on the transceive phase. Since the convection term $$$(\nabla\phi^{tr}\cdot\nabla\rho)$$$ dominates the diffusion term (no diffusion term) in our formulation, the solution will have unwanted spurious oscillations near interior and boundary layers6-7. Therefore, an artificial diffusion term $$$(-c\nabla^2\rho)$$$ is added for the purpose of stabilization, and the governing equation of the generalized phase based EPT method will be

$$$-c\nabla^2\rho+(\nabla\phi^{tr}\cdot\nabla\rho)+\nabla^{2}\phi^{tr}\rho-2\omega\mu_0=0$$$

where c is the constant diffusion coefficient.

Methods

Apart from the previous cr-MREPT studies4-5, the governing equation is solved for $$$\rho$$$ using finite difference scheme. This is important because since the measured transceive phase is already on Cartesian grid, we do not have to generate a grid for the region of interest (ROI). Partial derivatives in the governing equations are directly represented with the central difference formulae. Final matrix equation ($$$A\rho=b$$$) is solved using MATLAB (Mathworks, Natick, MA) by applying Dirichlet boundary condition. For electromagnetic simulations, RF birdcage coil was modeled and loaded with head phantom (see Fig. 1) using COMSOL Multiphysics8. The simulations were made at 128 MHz with a voxel size of 2x2x2 mm3. The conductivity maps were calculated using the simulated transceive phase, which is acquired by the summation of $$$B_1^+$$$ and $$$B_1^-$$$ phases of the coil. For the phantom experiment, background was prepared using agar-saline solution (20 g/L Agar, 2.5 g/L NaCl, 0.2 g/L CuSO4), and anomalies were prepared using a saline solution (8.8 g/L NaCl, 0.2 g/L CuSO4). Finally, a healthy 23-years-old male volunteer has been scanned with the approval of Institutional Review Board of Bilkent University. Experiments were conducted on Siemens Tim Trio 3T MR scanner (Erlangen, Germany) using a quadrature body coil and 12-channel receive only phased array head coil. The transceive phase was acquired using 3D balanced SSFP (FA=40 deg, TE-TR=2.33-4.66 ms, FOV=200x200x50 mm3, RES=1.56x1.56x1.56 mm3, coronal, NEX=32, total scan time ~10min for the experimental phantom, and FA=40 deg, TE-TR=2.23-4.46 ms, FOV=210x210x52.5 mm3, RES=1.64x1.64x1.64 mm3, axial, NEX=7, total scan time ~ 2.5min for volunteer study). For noisy simulations and experiments, isotropic Gaussian filter with 5x5x5 voxels and a standard deviation of 1.06 was applied to the phase data.

Results

Fig. 2-4 show the reconstructed conductivity results for the simulated head model, experimental phantom, and human experiments, respectively. Using generalized phase based EPT, boundary artifacts were eliminated completely in the phantom experiment, and were significantly reduced in human head simulations and experiments. The generalized phase based EPT method also provides immunity against noise due to the use of diffusion term without significantly blurring internal layers.

Discussion and Conclusion

With the boundary artifact reduction and noise immunity advantages of generalized phase based EPT, and the inherent advantages of the phase based EPT (fast, TPA free, and being suitable for any transmit-receive coil configuration), the proposed method provides fast and reliable electrical conductivity images for clinical applications.

Acknowledgements

This study was supported by TUBITAK 114E522 research grant. Experimental data were acquired using the facilities of UMRAM, Bilkent University, Ankara.

References

[1] Voigt T et al. Magn. Reson. Med. 2011;66(2):456-466

[2] Van Lier et al. Magn. Reson. Med. 2012;67:552–561

[3] Katscher U et al. Comput. Math. Methods Med. 2013;2013:546562

[4] Hafalir et al. IEEE Trans. Med Imaging, 2014;33(3) 777-793

[5] Gurler et al. ISMRM22(2014):3247

[6] John V et al. Comput Method Appl M 2007;196:2197-2215

[7] John V et al. Comput Method Appl M 2008;197:1997-2014

[8] Gurler et al. Concepts Magn Reson Part B 2015;45:13-32.

Figures

Fig. 1. Birdcage coil model loaded with the head phantom used in the simulations

Fig. 2. Reconstructed conductivity maps of the human head simulations under different SNR values. (a) actual conductivity map (b) using conventional phase based EPT $$$(\sigma=(\nabla^2\phi^tr)/(2\omega\mu_0)$$$ plus 3x3x3 median filter) (c) using generalized phase based EPT (c=0.05)

Fig. 3. Experimental phantom results: (a) selection of the ROI on the combined magnitude image, (b) magnitude image in the ROI for one channel. Reconstructed conductivity maps for the same channel (c) using conventional phase based EPT $$$(\sigma=(\nabla^2\phi^tr)/(2\omega\mu_0)$$$ plus 3x3x3 median filter) (d) using conventional phase based EPT (c=0.05)

Fig. 4. In vivo results: (a) selection of the ROI on the combined magnitude image (b) magnitude image in the ROI for one channel. Reconstructed conductivity maps for the same channel (c) using conventional phase based EPT $$$(\sigma=(\nabla^2\phi^tr)/(2\omega\mu_0)$$$ plus 3x3x3 median filter) (d) using conventional phase based EPT (c=0.05)



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
2991