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 phase
1-3, 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 studies
4-5,
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 Multiphysics
8. The
simulations were made at 128 MHz with a voxel size of 2x2x2 mm
3. 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 mm
3, RES=1.56x1.56x1.56 mm
3, 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 mm
3, RES=1.64x1.64x1.64 mm
3, 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
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