Dual-Echo EPI Sequence for Integrated Distortion Correction in 3D Time-Resolved Hyperpolarized 13C MRI
Benjamin J. Geraghty1,2, Albert P. Chen3, and Charles H. Cunningham1,2

1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Dept. of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3GE Healthcare, Toronto, ON, Canada

Synopsis

A novel dual echo EPI sequence is proposed for providing a built-in correction for off-resonance in time resolved, volumetric hyperpolarized 13C metabolic mapping with [1-13C]pyruvate. The phase evolution between two echoes was used to correct EPI distortion and improve spatial registration with the underlying anatomy. A correction term obtained from a fully phase encoded dual echo EPI proton reference scan was required to account for odd/even echo asymmetry in the 13C phase maps. Proof-of-concept dual echo EPI in vivo rat data was acquired on a clinical 3T MR scanner and corrected images are presented.

Purpose

Frequency-selective hyperpolarized [1-13C]pyruvate EPI provides unparalleled acquisition speeds[1], which are essential for volumetric, time-resolved metabolic mapping in vivo. In contrast to spectroscopic imaging techniques, echo-planar spatial encoding is notoriously sensitive to variations in the local resonance frequency, resulting in pixel shift artifacts along the blip encoding direction according to Eq. 1: yshift(r) = ytrue(r) + df(r) / BWpp . Static B0 field mapping methods[2] represent the gold standard approach for correcting EPI distortion via Eq. 1; however, the true df(r) for the 13C signals is unavailable before the hyperpolarized injection, and running a field mapping acquisition wastes precious magnetization. Inhomogeneities induce distortion in the metabolic maps, compromising their spatial registration with respect to the underlying anatomy[3]. To address this, we have developed a dual echo EPI sequence and non-iterative reconstruction that is capable of encoding the field map directly from the 13C signals. This ensures accurate spatial registration without any loss in SNR efficiency, and makes frequency-selective EPI more robust to B0 inhomogeneities.

Methods

All gradient waveform design and image reconstruction was performed in Matlab (The MathWorks Inc., Massachusetts). The dual echo EPI sequence was implemented by removing every other blip trapezoid in a symmetric EPI readout such that each kx line is traversed twice (figure 1). The result is two EPI images with opposing readout polarity, separated by an echo time difference of ΔTE = 0.892 ms (TR/TE = 56/26 ms, 128×16×12 matrix, 64×8×6 cm3 FOV, 5×5×5 mm3 nominal resolution). The phase of the complex quotient of the dual echo EPI images produces an estimate df(r)* in distorted coordinates. The estimate df(r)* is corrupted by an additional offset that arises from eddy currents, which cause odd/even echo asymmetry and erroneous phase accrual. To account for echo asymmetry, a fully phase encoded[4] dual EPI reference scan was acquired on proton using the same Gx readout gradient amplitude as the 13C acquisition. Gy and Gz waveforms were scaled down by γ13C / γ1H to provide 16×8×6 cm31H coverage. The residual between phase estimates computed from matching and opposite readout gradient polarity images was used for correcting df(r)*. A flowchart summarizing the signal processing pipeline is shown in figure 2. The final 13C phase map estimate in distorted EPI coordinates was used to unwarp the dual echo EPI images according to Eq. 1.

Imaging was performed on a GE MR750 3T MR scanner using a dual tuned T/R 1H-13C rat coil (GE Healthcare, Waukesha, WI). Sprague Dawley (650g) rat images were obtained in accordance with a protocol approved by the institutional animal care and use committee. The net flip angle per volume for pyruvate and lactate was calibrated to 10° and 80°, respectively. Two consecutive imaging experiments were conducted on the same rat, ~25 mins apart. Imaging commenced as 3 mL of 80 mM pre-polarized [1-13C]pyruvate solution (SpinLab DNP Polarizer, GE) was injected over 12 s via tail vein catheter. An estimate of the true in vivo centre frequency was used for the first experiment, while a deviation of -50 Hz was used to induce spatial mis-registration in the second experiment.

Results & Discussion

Reconstructed metabolic maps were 3X spline interpolated and overlaid on corresponding axial T2-FSE images. Data acquired during the 2nd experiment (-50 Hz off resonance) is shown in figure 3. Corrected images exhibit superior alignment of the signals arising from the aorta and kidneys with respect to the underlying anatomy. Time courses of the total pyruvate and lactate signals within a manually traced ROI comprising both right and left kidneys illustrate the difference between registered and mis-registered metabolic maps.

The uncorrected lactate time course reveals signal contamination from pyruvate-hydrate within the kidney. For displaying the lactate images, only time points from t = 30-60 s were summed to minimize the appearance of the pyruvate-hydrate contamination. Spectral contamination is unavoidable with large errors in frequency setting, and cannot be resolved with the proposed dual echo EPI sequence; however, the phase map estimates may be useful as a quality metric when interpreting lactate images.

Conclusion

We have demonstrated a novel acquisition and reconstruction scheme for providing tolerance to erroneous frequency variations including B0 inhomogeneities and eddy currents in frequency-selective 13C EPI of hyperpolarized compounds. The method is non-iterative, simple to implement, and the degree of apodization is the sole tuning parameter. This parameter was manually adjusted to generate the images in figure 3, and its selection represents a tradeoff between 13C phase map SNR and spatial accuracy. The automated selection of this parameter will be investigated in future work.

Acknowledgements

The authors are thankful for funding from the Canadian Breast Cancer Foundation and to Jennifer Barry and Yiping Gu for assistance with the animal studies.

References

[1] Cunningham, Charles H., Albert P. Chen, Michael Lustig, Brian A. Hargreaves, Janine Lupo, Duan Xu, John Kurhanewicz et al. "Pulse sequence for dynamic volumetric imaging of hyperpolarized metabolic products." Journal of magnetic resonance 193, no. 1 (2008): 139-146.

[2] Jezzard, Peter, and Robert S. Balaban. "Correction for geometric distortion in echo planar images from B0 field variations." Magnetic resonance in medicine 34, no. 1 (1995): 65-73.

[3] Cunningham, Charles H., William Dominguez Viqueira, Ralph E. Hurd, and Albert P. Chen. "Frequency correction method for improved spatial correlation of hyperpolarized 13C metabolites and anatomy." NMR in Biomedicine 27, no. 2 (2014): 212-218.

[4] Chen, Nan-kuei, and Alice M. Wyrwicz. "Correction for EPI distortions using multi-echo gradient-echo imaging." Magnetic Resonance in Medicine 41, no. 6 (1999): 1206-1213.

Figures

Figure 1 - Proposed dual echo EPI pulse sequence diagram (a) and k-space trajectory (b). Odd (red) and even (blue) echoes are separated by ΔTE = 0.892 ms, allowing for the extraction of off-resonance information from the phase evolution between the two volumes.

Figure 2 - 13C phase map signal processing pipeline. Time resolved pyruvate data is temporally summed and filtered to produce two high SNR dual echo EPI volumes. The phase difference of the two echoes is computed by taking the angle of their complex division, and fit to a 2nd degree polynomial surface. Odd/even echo asymmetry is characterized from a fully phase encoded dual echo EPI reference scan on proton, and is subtracted from the 13C phase map estimate.

Figure 3 - Pyruvate and Lactate metabolic maps and kidney time courses for corrected and uncorrected images. The data was acquired with a -50 Hz offset in the transmit/receive frequency to induce spatial mis-registration. The result is both a reduction in SNR due to the reduced flip angle as well as the presence of pyruvate-hydrate contamination. Pyruvate and lactate maps were generated by summing time points from t = 5-30 and t = 30-60, respectively.



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