Eric G. Stinson1, Joshua D. Trzasko1, and Stephen J. Riederer1
1Radiology, Mayo Clinic, Rochester, MN, United States
Synopsis
Single-echo
Dixon imaging for contrast-enhanced MR angiography (CE-MRA) can provide the
advantages of multi-echo Dixon without the tradeoff of longer acquisitions and
reduced temporal resolution. Single-echo Dixon imaging assumes that both
the water and fat signals are real and have known initial phase and phase due
to field inhomogeneities. However, when a paramagnetic Gadolinium-based contrast agent is
injected for CE-MRA, the field may be perturbed and render the a priori phase
estimates invalid. The purpose of this study is to demonstrate the
effect of Gd-induced field perturbations on first-pass single-echo Dixon CE-MRA
and describe strategies to avoid or correct artifacts.Purpose
Multi-echo Dixon methods (1) applied to contrast-enhanced MR angiography
(CE-MRA) avoid misregistration-based
subtraction artifacts (2) and improve signal-to-noise ratio (3) compared to traditional time-subtraction
methods. If initial phase $$$\phi_0$$$ and $$$\Delta B_0$$$-induced phase $$$\phi(t)$$$ are known
a priori, single-echo Dixon methods
can provide the same benefits (3) while offering temporal advantages, particularly in time-resolved studies, where the additional calibration time needed
to estimate $$$\phi_0$$$ and $$$\phi(t)$$$ is amortized over
numerous time points. However, when gadolinium-based contrast material is used, the paramagnetic Gd
3+ ions may
perturb the field and render the
a
priori phase estimates invalid (4). This effect is the basis of dynamic susceptibility
contrast MRI (DSC-MRI), but in single-echo Dixon imaging manifests as reduced CE blood
signal in the water image as it leaks into the fat image. The purpose of
this study is to demonstrate the effect of Gd-induced field perturbations on
first-pass single-echo Dixon CE-MRA and describe strategies to avoid or correct
artifacts.
Methods
Theory: Single-echo Dixon imaging assumes that both the water (W)
and the fat (F) signals are real and have known $$$\phi_0$$$, $$$\phi(t)$$$, and chemical shift-induced phase $$$\theta(t)$$$ (Eq.
1). The phase terms can be found with a multi-echo calibration scan (5,6), or through a "virtual shimming" procedure (7). Constraining W and F to be real and performing a least-square
estimate allows reconstruction using Eq. 2 (3,8). However, in the presence of a Gd-based
contrast agent, the phase may be perturbed by $$$\delta \phi$$$ (Eq. 3) and reconstruction via Eq. 2 may result in incorrect W and F estimates. Evidence of this field perturbation is shown in Fig. 1, where the estimated background phase within a contrast-enhanced vial of b-gel varies with Gd concentration.
$$G(t) = \left( W + F e^{i\theta(t)} \right) e^{i (\phi(t) + \phi_0)} + N \hspace{1cm} \text{(Eq. 1)}$$
$$\begin{bmatrix}W \\ F \end{bmatrix} = \left[ Re\{ A^{*} A\} \right]^{-1} Re\left\{ A^* G \right\} \hspace{1cm} \text{(Eq. 2a)}$$
$$A=e^{i (\phi(t) + \phi_0)} \begin{bmatrix} 1 & e^{i\theta(t)} \end{bmatrix} \hspace{1cm} \text{(Eq. 2b)}$$
$$G(t) = \left( W + F e^{i\theta(t)} \right) e^{i (\phi(t) + \phi_0 + \delta \phi)} + N \hspace{1cm} \text{(Eq. 3)}$$
Artifact Avoidance: We have identified
three strategies for avoiding artifacts from susceptibility artifacts from Gd
inflow: (i) Use a lower contrast dose to lessen the field perturbation, (ii)
Acquire the multi-echo calibration scan after contrast has reached equilibrium (estimate a semi-perturbed field), (iii) Use a hybrid reconstruction technique
(Fig. 2) to virtually shim (7) the field map within the water image
mask of each single-echo acquisition.
In Vivo Experiments: An IRB-approved
experiment was performed with 10mL and 18mL of contrast material injected on
different days with the same volunteer. Unaccelerated coronal thigh images were
acquired with a 10 channel phased array at 3.0T (GE, Waukesha, WI) with
the following scan parameters: TE1/TE2/TR=2.3/3.5/5.6msec,
α=18°, BW=±62.5kHz, FOV=38×38×20cm, Matrix=240×240×100. These multi-echo images
were acquired pre- and post-injection of MultiHance (Bracco Diagnostics, Princeton, NJ, USA) to estimate $$$\phi_0$$$ and $$$\phi(t)$$$. A fully-sampled single-echo image was acquired
with identical parameters except: TE/TR=2.8/4.9msec. The 18mL single-echo image
was reconstructed using phase derived from the pre- and post-contrast multi-echo
images and with the hybrid reconstruction (Fig. 2) .
Results
Targeted
maximum intensity projections (MIPs) of results are shown in Fig. 3. When 18 mL
of contrast is used, signal loss is seen within the femoral artery (Fig 3a,
arrowheads), but is partially mitigated by using method (ii) (Fig 3b). Further improvement in luminal signal is
realized by method (iii) (Fig. 3c). Using 10 mL of
contrast material (method (i)) also prevents Gd-induced signal loss (Fig. 3d), but, results in lower vascular signal (signal profiles, Fig. 3). The
signal profiles (Fig. 3, bottom) show that each of strategy prevents or
corrects for Gd-induced susceptibility effects.
Discussion
Three strategies for avoiding Gd-induced susceptibility effects in
first-pass single-echo Dixon CE-MRA have been shown. Reducing the contrast dose
decreases field map perturbations and retains contrast-enhanced blood signal. Phase
derived from the post-contrast images is a better approximation of the perturbed
phase and mitigates some signal loss, but while not seen here, could
potentially introduce errors from Gd enhancement in the veins. The hybrid
reconstruction technique further corrects the field map
perturbations, but due to the strict masking step may not successfully handle
voxels containing both water and fat signal. Future work will explore more robust
virtual shimming techniques, other methods of estimating the perturbed field
map, and additional uses of the estimated $$$\delta \phi$$$ map.
Conclusion
Gd-induced susceptibility can have a non-negligible effect on first-pass
single-echo Dixon CE-MRA, but this can potentially be alleviated using one of
the three presented methods.
Acknowledgements
Funded by: NIH EB000212, NIH RR018898 References
1. Dixon, W. Radiology 153, 189–194 (1984).
2. Leiner, T. et al. Eur. Rad. 23, 2228-2235 (2013).
3. Stinson, E. et al. MRM. 74, 81-92 (2015).
4. Hoory, T. et al. MRM. 59, 925–929 (2008).
5. Yu, H. et al. MRM. 55, 413–422 (2006).
6. Ma, J. JMRI. 27, 881–890 (2008).
7. Xiang, Q.-S. Proc. ISMRM 789 (2001).
8. Bydder, M. et al. MRI. 29, 216–221 (2011).