Yesu Feng1, Jeremy Gordon1, Peter Shin1, Cornelius von Morze1, Michael Lustig2, Peder E.Z. Larson1, Michael A. Ohliger1, Lucas Carvajal1, James Tropp3, John M Pauly4, and Daniel B. Vigneron1
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2EECS, UC Berkeley, Berkeley, CA, United States, 3GE Healthcare, Fremont, CA, United States, 4Electrical Engineering, Stanford, Stanford, CA, United States
Synopsis
Hyperpolarized
(HP) 13C imaging requires fast data acquisition due to the fast T1
relaxation. Parallel imaging methods are well suited for acceleration of data
acquisition, yet conventional parallel imaging schemes require explicit calibration
of coil sensitivity which presents significant challenge to HP 13C
imaging. In this study, a calibrationless parallel imaging method was tested
and applied to HP 13C MRI. A 2-fold acceleration was achieved when this
technique was applied together with a 2D EPI readout. This strategy is being
extended for 3D HP 13C EPI for improved volumetric coverage and
better temporal resolution for future clinical studies. Purpose
The transient nature of hyperpolarized (HP) C-13
signals requires fast data acquisitions to mitigate signal loss due to
relaxation and to measure rapid in vivo
substrate uptake and metabolic conversion. This is especially true for clinical
trials, which demand much larger FOVs and concomitantly larger matrix sizes to
maintain the spatial resolution currently used for preclinical studies.
Parallel imaging schemes with multi-channel coils offer the potential for
improved spatial coverage and high acceleration while maintaining high SNR.
Conventional parallel imaging schemes such as SENSE1, SMASH2
and GRAPPA3 all require a
priori knowledge of coil sensitivity through explicit calibration scans
prior to image acquisition. This is difficult for HP C-13 studies due to the
fact that C-13 signal is unavailable before injection of hyperpolarized
substrate and incorporation of auto-calibration scans into the small matrix
size used for C-13 imaging significantly limits k-space coverage. Recently a
new class of calibrationless parallel imaging techniques have been developed,
such as the Simultaneous Auto-calibrating and K-space Estimation (SAKE)4,
that does not require explicit calibration of coil sensitivity. The purpose of
this study was to investigate the efficacy of the SAKE method for HP C-13 imaging in both 2D and 3D applications.
Methods
2D studies
All MR images were acquired using a GE 3T scanner equipped
with multi-nuclear capability. Proton anatomical images were acquired with the
built-in body coil. A custom-designed transmitter and an 8-channel array coil
(Figure 1(a)) were used for C-13 RF excitation and receive. All images were
acquired with a 2D ramp-sampled symmetric EPI sequence5 (Figure 2)
using a FOV of 16x16 cm (phantom) or 20x20 cm (in vivo) and a reconstructed matrix size of 64x64. Under-sampling
was achieved along the Gy-blip dimension with at least 2-fold acceleration. The
SAKE reconstruction scheme was first tested on a retrospectively under-sampled
data acquired with a phantom of natural abundance ethylene glycol (Figure
1(b)). Its performance was compared with GRAPPA using comparable acceleration
rates (Figure 3) with reconstruction coefficients estimated using a 4-by-3
kernel. Then SAKE was applied to a prospectively under-sampled in vivo imaging data. HP 13C-t-butanol
was chosen in this study as it can freely diffuse across the blood brain
barrier and was hyperpolarized in a Hypersense DNP polarizer (Oxford
instruments). Approximately 3.0 ml of the final solution containing 100 mM 13C-t-butanol
was injected into normal Sprague-Dawley rats for in vivo imaging (Figure 1(c)). The polarization level was around
20%.
3D simulation
To evaluate efficacy of SAKE reconstruction on
3D acquisition with acceleration on both phase encode directions, a 3D digital
phantom of 64 x 64 x 64 matrix size was generated (Figure 5(a)) using simulated
sensitivity profile of the aforementioned receive coil (Figure 1(a)). The 3D
data was under-sampled with two 2D variable density Poisson disk patterns
(Figure 5(b-c)).
Results
In the ethylene glycol phantom study, the performances of
SAKE and GRAPPA against 2-fold under-sampled data are comparable with RMSE of 0.0164
compared to the fully sampled image. However, at a higher acceleration factor
(R = 2.6) GRAPPA failed (with 12 ACS lines) due to aggressive under-sampling of
the outer k-space. In contrast, even with 3-fold acceleration, SAKE largely
suppressed aliasing artifact across the phase encode direction (Figure 3).
In the hyperpolarized t-butanol study, the SAKE
reconstruction showed no aliasing artifacts in the phase encode direction
compared to the aliased zero-filled images (Figure 4(a) versus (b)). These
images show high signal intensity in the rat kidneys and brain. Notably, the
SAKE reconstruction (Figure 4(e)) demonstrated better differentiation between
the renal cortex and inner medulla compared to the data acquired with partial
Fourier coverage with 25% oversampling (Figure 4(f)).
In the simulated 3D phantom study, one axial
slice (Figure 5(a), with the kz readout direction fully sampled) was chosen to
test the SAKE reconstruction scheme against 2D accelerated image. Two variable
density patterns with overall acceleration rates of 3 and 4.5 were used to
generate the under-sampled data. Reconstructed images had RMSE of 0.0331
(3-fold) and 0.0405 (4.5-fold).
Discussion and Conclusion
In this proof-of-concept demonstration, we applied the self-calibrating
SAKE parallel imaging method to hyperpolarized 13C 2D EPI studies
and demonstrated its robustness against aliasing in both in silico and in vivo
experiments. SAKE showed a unique advantage over conventional parallel imaging
schemes that require separate calibration scans. This approach is being
extended to 3D imaging of HP 13C study. Greater acceleration can be achieved
with sequences such as 3D multi-shot EPI since incoherent undersampling can be
performed on both phase-encode dimensions, reducing RF requirements and
improving volumetric coverage and/or temporal resolution.
Acknowledgements
This
work was supported by NIH grants R01EB017449, P41EB013598, R01CA183071 and R01EB016741.References
1.
K.P. Pruessmann, M.
Weiger, M.B. Scheidegger, P. Boesiger, SENSE: Sensitivity encoding for fast
MRI, Magnetic Resonance in Medicine : Official Journal of the Society of
Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 42
(1999) 952–962. doi:10.1002
2.
D.K. Sodickson, W.J.
Manning, Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging
with radiofrequency coil arrays, Magnetic Resonance in Medicine : Official
Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic
Resonance in Medicine. 38 (1997) 591–603. doi:10.1002/mrm.1910380414.
3. M.A. Griswold, P.M. Jakob, R.M. Heidemann, M. Nittka, V. Jellus, J. Wang, et al., Generalized autocalibrating partially parallel acquisitions (GRAPPA), Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 47 (2002) 1202–1210. doi:10.1002/mrm.10171.
4.
P.J. Shin, P.E.Z. Larson, M.A. Ohliger, M.
Elad, J.M. Pauly, D.B. Vigneron, et al., Calibrationless parallel imaging
reconstruction based on structured low-rank matrix completion, Magnetic
Resonance in Medicine : Official Journal of the Society of Magnetic Resonance
in Medicine / Society of Magnetic Resonance in Medicine. 72 (2014) 959–970.
doi:10.1002/mrm.24997.
5.
J.W. Gordon, S.
Machingal, J. Kurhanewicz, D.B. Vigneron, P.E.Z. Larson, Ramp-Sampled,
Symmetric EPI for Rapid Dynamic Metabolic Imaging of Hyperpolarized C-13
Substrates on a Clinical MRI Scanner, In Proceedings of the Rd Annual Meeting
of ISMRM. (2015).