Akram Etemadi Amin1, Elena Ackley2, Kevin Fotso2, Stephen R Dager3, and Stefan Posse2,4,5
1Physisc and Astronomy, U New Mexico, Albuquerque, NM, United States, 2Neurology, U New Mexico, Albuquerque, NM, United States, 3Radiology, U Washington, Seattle, WA, United States, 4Physics and Astronomy, U New Mexico, Albuquerque, NM, United States, 5Electrical and Computer Engineering, U New Mexico, Albqueruque, NM, United States
Synopsis
We present a new approach with negligible impact on overall
scan time that integrates a short water reference acquisition and navigators into
the water suppression module, to spatially and spectrally encode the water
signal before suppression. We show that this approach enables quantitative 2D
and 3D high-speed MR spectroscopic imaging (MRSI) of brain metabolites, for range of pre-localization techniques
(slice-selective, slab-selective or PRESS), at short and long TE, and at
different slice locations. This
method significantly reduces the acquisition time of volumetric MR
spectroscopic imaging and is compatible with a wide range of spectroscopic
acquisition methods.
Introduction
Current approaches for absolute
quantification of metabolites in reference to tissue water require either a
separate or an interleaved (partial flip angle) water reference scan (1), which
increases scan time. Here we present a new approach with negligible impact on
overall scan time that integrates a short water reference acquisition and
navigators into the water suppression module, to spatially and spectrally
encode the water signal before suppression. We show that this approach enables
quantitative 2D and 3D high-speed MR spectroscopic imaging (MRSI) of
metabolites in the brains of adults and a child, for range of pre-localization
techniques (slice-selective, slab-selective or PRESS), at short and long TE,
and at different slice locations.
Methods
The
modified water suppression module acquires the water signal, which is typically
suppressed in proton MR spectroscopy, immediately after RF excitation and
integrates an echo-planar spatial-spectral encoding module before signal
dephasing with crusher gradients. A binomial slice/slab selective water
excitation RF pulse (monopolar, 10 RF pulses) is used for excitation. A
navigator with a bipolar readout gradient along the slice direction is acquired
after signal excitation to monitor water phase/frequency changes, followed by
echo-planar spatial-spectral encoding with conventional phase encoding in the
orthogonal direction(s) that is shorter in duration, but otherwise identical to
the echo-planar spatial-spectral encoding module for metabolite signals (Figure 1).
Four
healthy adults (1f,3m) and a 3-month old infant (m) were scanned on clinical 3T
Siemens Trio scanners equipped with 12 and 32 channel array coils. Institutionally
approved informed consent was obtained. 2D Proton-Echo-Planar-Spectroscopic-Imaging
(PEPSI) (2) using either slice-selective or PRESS pre-localization combined
with outer volume suppression was performed with TR/TE: 2000/90 ms, spatial
matrix: 32x32, voxel size: 1x1x2 cc or 1.5x1.5x2 cc, spectral width: 1087 Hz,
digital spectral resolution: 1 Hz (metabolites) and 34 Hz (water), NAV: 1, scan
time: 64 s. 3D PEPSI using slab-prelocalization combined with outer volume
suppression was performed with TR/TE: 1250/15 ms, spatial matrix (elliptical
sampling): 32x32x8, voxel size: 7x7x7 mm, spectral width: 1087 Hz, digital
spectral resolution: 1 Hz (metabolites) and 17 Hz (water), NAV: 1, scan time: 2:56
min. All RF pulse waveforms were a 6-sidelobe Hamming filtered sinc.
Data were reconstructed online in
the image calculation environment (ICE) using ramp sampling correction and
even-odd echo separation (2). Water reference data were zero-filled to 1024
points and quantified using LCModel fitting (3) with a line-shape matched basis
function. Spectral quantification of metabolites in reference to tissue water
was performed using LCModel fitting with simulated basis sets, followed by age-dependent
relaxation correction (2).
Results
The integration of the water
reference acquisition had negligible impact on spectral quality, SNR and water
suppression efficiency. Excellent spectral quality was obtained, both in 2D and
3D scans, with slice-averaged Cramer Rao lower bounds of less than 11 % for
major singlet resonances (Figures 2-4,
Table 1). The SNR in central voxels of the high spatial resolution 3D scan
(0.34 cc voxel size) was > 4. Metabolite concentrations measured with this
new approach were in the range of results published in previous studies (2,4-7),
both at short and long TE, for spin-echo slice selection and for PRESS
pre-localization (Table 1).
Differences between metabolite concentration measured at short TE using 3D
mapping and at long TE using 2D mapping are due to (a) uncorrected differences
in chemical shift displacement (between 90o and 180o
pulses) related signal attenuation in the 2D scans, and (b) regional
differences in relaxation times that were not accounted for in our analysis.
Discussion
The
integration of the water reference acquisition into the water suppression provides
full sensitivity for measuring both metabolites and tissue water in a single
acquisition. The short readout of the water reference signal does not impair
spectral quantification and water referencing. The spectral bandwidth of the water
suppression RF pulse needs to be large enough to encompass all water frequency
offsets, at the expense of mapping metabolites close to water. Alternatively, a
flip angle correction for off-resonance water signals may be applied. Future
work aims at improving quantification by integrating chemical shift displacement
correction, partial volume correction, region specific relaxation correction,
and navigator-based correction of movement, frequency and phase drifts.Conclusions
Integration of a short water
reference acquisition into the water suppression module enables efficient
acquisition of both metabolites and tissue water in a single acquisition for
the purpose of absolute quantification. This method significantly reduces the
acquisition time of volumetric MR spectroscopic imaging and improves reliability
of water referencing, which will enhance clinical utility. The approach is
compatible with a wide range of spectroscopic acquisition methods.
Acknowledgements
This research was in part supported by 1R21EB011606-01 and 1 R01 DA14178-01. We gratefully
acknowledge the support of Neva M. Corrigan, Mindy Dixon,
Dennis Shaw, Diana
South and Chenguang Zhao.References
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