Hidehiro Watanabe1 and Nobuhiro Takaya1
1Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, Ibaraki, Japan
Synopsis
Absolute
quantitation framework on highly resolved 2D CT-PRESS spectra with 1H
decoupling was proposed for measurement of concentration of glutamate and GABA.
Although peaks of these metabolites are clearly resolved on the spectra, long
constant time delay (Tct) requires T2 correction. To overcome
this, we proposed a fast T2 correction method using 2D FT with shared
time domain data. After curve fitting of series of spectra with varied Tct's,
we obtained series of peak volumes that can be expressed as an exponential
decay of T2. In phantom experiments, we could measure the
concentrations of glutamate and GABA by our method.Introduction
Glutamate (Glu) and γ-amino butyric acid (GABA) are
major neurotransmitters in human brain. These
peaks are overlapped on the conventional
1H spectra
due to strong coupling with small chemical shift difference and J
HH
coupling. This may lead to difficulty of accurate absolute quantitation of Glu
and GABA. Constant time (CT) two dimensional methods have a feature of good peak
resolution through
1H
decoupling along F
1. We have reported
in vivo detection of these metabolite peaks of Glu C4H at 2.35ppm, GABA C2H
at 2.28ppm and glutamine (Gln) C4H at 2.44ppm in human
brain
using
two kinds of 2D localized
CT methods,
CT-COSY (1) and CT-PRESS (2). Since long constant time delay (T
ct) is
required in these methods, T
2 correction is needed for absolute
quantitation. To overcome this, we have proposed 2D FT with shared time domain (TD) data and
demonstrated quantitation of Glu (3). In this work, we will expand this method
into measurement of concentration of Glu and GABA and demonstrate absolute quantitation in phantom experiments.
Methods
In CT-PRESS sequence, water
suppression and outer volume suppression are followed by a module for PRESS localization;
90° slice pulse
(y-direction) – 1/2*TE1 – 180° -slice
pulse (x-direction) – 1/2*(TE1+TE2)+Δt1/2 – 180° slice pulse
(z-direction) – {data acquisition}. To meet the constant time condition, a
suitable amount of zeroes were filled in front of the acquisition data (2). Figure
1 shows a schematic of our proposed quantitation method. After N1
increments by Δt1 along t1, 2D TD data defined by
N1 × n2
matrices are accumulated where n2 is number of sampling points in
FID. When a part of the total TD data defined by n1 × n2 shown
as a dotted area of TD1 in Fig. 1 is extracted, reconstruction of the TD1 data
generates a CT-PRESS spectrum weighted by exp(-Tct/T2) where the
value of Tct is TE1+TE2+(n1start+n1/2)Δt1. Since Tct can be varied by shifting n1start, series of 1H decoupled
spectra weighted with multiple Tct's can be reconstructed from series of the partial TD data.
Figure 1 shows an example of two sets of TD data of TD1 and TD2. Next, peak volumes with multiple Tct's are calculated by curve-fitting
of these spectra (4) using a linear combination model with a basis set. In this work, we used three bases of Glu, GABA and Gln. Calculated peak volumes can be expressed as an exponential
decay and T2 correction can be done for measurement of concentrations of metabolites.
All experiments were
performed using a 4.7 T whole-body MR system (INOVA, Agilent). First, we measured each CT-PRESS spectrum of 50-mM Glu,
GABA and Gln for the basis set. For demonstration of quantitation, we measured a phantom containing
a brain metabolite mixture of 10.0 mM NAA, 8.0 mM Cr, 9.0 mM Glu, 2.6 mM GABA
and 2.9 mM Gln. A 100-mL bottle containing this solution was placed in a water
bath and CT-PRESS signals were acquired inside a voxel within that bottle.
After a CT-PRESS spectrum was reconstructed from the partial TD data, the area from 2.2ppm to 2.6ppm was extracted for curve fitting (Fig. 2) and absolute quantitation was done. CT-PRESS
signals were acquired in an 8ml voxel with a measurement time of 33 min. In all
measurements, TE1 and TE2 were 17.5 ms. Spectral widths along F1 and F2 were 1 kHz and 2 kHz, respectively. N1
and n1 were 200 and 150, respectively. Relaxation delay was 5 s.
Results & Discussion
Figure 2 shows a phased CT-PRESS spectrum with
T
ct = 109 ms of the mixture phantom with views from F
1 and F
2
axes. By reconstruction with a window function of resolution enhancement for shifted echoes (2), Glu C4H, GABA C2H and Gln C4H are resolved. First, peak
volumes of these metabolites were calculated by curve fitting of CT-PRESS spectra with T
ct’s of 109, 119, 129, 139, 149 and 159 ms. Then, calculated peak volumes were curve fitted by an exponential
decay model for T
2 correction (Fig. 3). Finally, the values of 9.5 mM, 2.5 mM and 3.7 mM were obtained for Glu, GABA and Gln, respectively. While
these values of Glu and GABA are close to each concentration of mixture phantom, the
value of Gln is 28% bigger than the concentration. This error may be caused by
the NAA multiples around 2.5 ppm.
Conclusions
Our proposed method is useful to absolute quantitation of Glu and GABA. Since these peaks are resolved even in the
human brain spectra, this method will also be applied in human studies with the internal water reference method.
Acknowledgements
No acknowledgement found.References
1. Watanabe H., Takaya N., Mitsumori F.,
Simultaneous observation of glutamate, γ-amino butyric acid
and glutamine in human brain at 4.7T using localized two dimensional
constant-time correlation spectroscopy. NMR in Biomed. 2008;21(5):518-526.
2. Watanabe H., Takaya N., Mitsumori F.,
Highly resolved 1H spectroscopy of the human brain using ISIS
CT-PRESS with resolution enhancement. Magn. Reson. Med. Sci. 2012;11(4):235-241.
3. Watanabe H., Takaya N., Mitsumori F, T2
correction and quantitation method on highly resolved 2D constant time 1H
spectra in human brain using 2D FT of shared time domain data. Proc. Intl. Soc.
Mag. Reson. Med. 2009: 17: 2388.
4. Watanabe H., Takaya N., Mitsumori F, Phasing and curve fitting of highly resolved 2D constant time PRESS spectra for quantitation of glutamate, GABA and glutamine. Proc. Intl. Soc.
Mag. Reson. Med. 2015: 23: 4730.