Eren Kizildag1, Jason P Stockmann2, Borjan Gagoski2,3,4, Bastien Guerin2,4, P. Ellen Grant2,3,4, Lawrence L. Wald2,4, and Elfar Adalsteinsson1,5,6
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Boston Children’s Hospital, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Cambridge, MA, United States
Synopsis
Severe B0 inhomogeneity manifests itself in the
in vivo brain Chemical Shift Imaging (CSI) by broadening the lineshapes and
diminishing the quality of the observed spectra. We mitigate this problem by
employing a 32-channel integrated RF-shim coil array which uses an optimal
combination of local B0 fields from each coil to cancel higher order local
field inhomogeneities in the CSI volume. We observed 50% reduction
in ΔσB0 over the slab as compared with 2nd order
shimming, corresponding to pronounced improvements in the linewidths of 13 out
of 24 CSI voxels while modestly worsening in only 3 voxels. Purpose
Chemical
shift imaging (CSI) holds promise for studying brain metabolism and function in
healthy and disease states by providing spatial localization of metabolites.
However, widespread clinical use is impeded by local B
0 field variations
arising from tissue susceptibility differences (esp. near sinus cavities) that are inadequately compensated by standard 2
nd-order spherical harmonic (SH) shim
coils, resulting in diminished spectral quality and poor water and lipid suppression [1]. Multi-coil (MC) local shim arrays [2] provide an efficient alternative to higher-order SH shim coils for nulling high-order local B
0 variations without suffering from the low efficiency, high eddy currents and expensive current drivers associated with SH coils; however, the MC shim arrays compete with RF receive arrays for space near the head. The recent introduction of integrated RF-shim coils [3,4] provides the advantages of MC shim
arrays and RF receive arrays without compromising the performance of either system. They have previously been used to reduce geometric
distortion in EPI images (
Fig. 1) [3] and here we demonstrate their use for improving spectral quality in CSI.
Methods
Experiments were performed using an anthropomorphic head phantom on
a Siemens Skyra 3 Tesla scanner (Siemens Healthcare, Erlangen, Germany) to
assess improvements in CSI data provided by a previously-described 32ch RF-shim
array (Fig. 1) [3] over standard 2nd-order SH shims. Phantom:
A realistic head model [5]
was 3-D printed in ABS plastic shells forming brain and muscle compartments (Fig. 2). The phantom includes a sinus air cavity that mimics
ΔB0 patterns in
the frontal lobes in vivo. The brain
compartment was filled with “Braino” metabolite solution [6] containing GABA,
glutamate, choline, creatine, and NAA at 5X typical in vivo concentrations to reduce the need for signal averaging.
Thus the phantom reflects realistic field maps (B1+ and B0)
and spectral information encountered in
vivo.
Acquisition: Constant
density spiral-based k-space trajectories were appended to conventional
PRESS-box excitation for single-slice, time-efficient spectral-spatial encoding
[7]. Three TRs
encoded a Cartesian matrix of (x,y,f) = (12,12,460) points (zero-padded to
16x16x512) over a 24cm FOV and spectral bandwidth of
1450Hz, for an overall voxel size of 16cc (2x2cm in-plane with 4cm slice). The
PRESS-box excited VOI=[80x140x40]mm is inscribed wholly within the brain compartment.
The spiral k-space data are 2X-gridded using a Kaiser-Bessel kernel. Ten averages yield NAA SNR ~ 25 for a total imaging time of 90s (TE=30ms and TR=2s). Within the shim adjust volume covering the
PRESS-box excitation VOI, there were 24 target CSI voxels. Shimming: Scanner 2nd-order shims were applied over the
PRESS-box VOI and spiral CSI data were acquired, followed by gradient-echo
B0 field maps (2mm slice, 2.4mm in-plane). A previously mapped basis set of unit-current B0 field maps for the shim coils were used to minimize a least squares objective on residual B0 field subject to maximum current per loop (2.5A) and total current in the array (35A) constraints. After the application of optimal MC shim currents,
the field mapping and CSI acquisitions were repeated. The high-resolution field maps were used to quantify shim performance using the standard deviation of ΔB0 over the whole excited volume (σB0GLOBAL)
as well as over each individual CSI voxel (σB0LOCAL)
[1].
Results
Multi-coil
shims provide a 50% reduction in
σB0GLOBAL
(
Fig. 3) and similar improvements in
σB0LOCAL within
the majority of CSI voxels (
Fig. 4). Good
agreement was obtained between calculated and acquired B
0 field maps
with the MC shims applied (using 9A of total current for the prescribed shim).
As compared with 2
nd-order shim field maps, the MC shims reduce peak
ΔB0 and produce a more even distribution
of
ΔB0
over the whole CSI volume. Spectral linewidths were improved in 13
out of the 24 encoded voxels, remained comparable in 8 voxels, and modestly worsened
in 3 voxels (
Fig. 4).
MC shimming
substantially improved spectra in the posterior area of the PRESS-box where
the 2
nd-order shim had compromised
ΔB0 while attempting to shim the anterior frontal
lobe B
0 hotspot. Moreover, the large reduction in
σB0GLOBAL enabled by MC shims is expected to benefit the performance of
frequency selective RF pulses used for VOI excitation, water & lipid
suppression, and spectral editing [1]. However, mismatch exists in parts of the
frontal lobe (e.g. voxel A) between
σB0LOCAL and the
linewidth, possibly due to shifts in the acquired voxel location caused by
ΔB0. Since B
0
inhomogeneity in the “no-care” region is much worse in the MC shim case, the
proposed methods would benefit from swapping the PRESS-box RF pulses to an excitation module that has sharper spatial localization and less sensitivity to chemical shift (e.g. LASER [8]).
Acknowledgements
The authors thank Trina Kok for help preparing brain metabolite
solution and Jon Polimeni for sharing his image acquisition and analysis scripts. Support by NIH R21 EB017338, P41 EB015896, BRP NIH
R01EB017337.References
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