Simon Reichert1, Dennis Kleimaier1, and Lothar Schad1
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany
Synopsis
This study proposes an inversion
recovery TQTPPI pulse sequence to create triple quantum (TQ) coherences
utilizing the $$$T_1$$$ relaxation pathway. Different double quantum
(DQ) suppression methods provide stable fit results with reasonable SNR. The $$$T_1$$$-TQ signal is sensitive to faster motion than
the conventional $$$T_2$$$-TQ pathway and thus provides additional
information about sodium-protein interactions.
Introduction
To leverage the full potential of
sodium triple-quantum (TQ) signal, a deeper understanding of sodium–protein
interactions is necessary. Previous studies1-4 mainly created TQ
signals using $$$T_2$$$ relaxation pathway based on the $$$T_{1\pm1}\rightarrow T_{3\pm1}$$$ transition, such as TQ time proportional phase
incrementation (TQTPPI) pulse sequence4. The TQTPPI pulse sequence
allows to simultaneously determine single quantum (SQ) and TQ signals, and
bi-exponential
relaxation times by a non-linear FID fit. Hence, the TQ signal amplitude
and the reference to the SQ signal render the TQ/SQ ratio, a quantitative
parameter between different studies.
An alternative pathway for
creation of TQ signal is $$$T_1$$$ relaxation based on the $$$T_{10}\rightarrow T_{30}$$$ transition. This $$$T_1$$$-TQ signal is sensitive to an
intermediate motional regime ($$$\omega_0\tau_c\sim1$$$) compared to the slow motional
regime ($$$\omega_0\tau_c\gtrsim1$$$) of the $$$T_2$$$-TQ signal. The majority of
sodium–protein interactions are characterized by small correlation times $$$\tau_c$$$5. Thus, the $$$T_1$$$-TQ signal can provide valuable information
to better characterize sodium-protein interactions and improve our
understanding on the TQ signal formation in biological environments. Jaccard et
al.6 have already proposed
a TQ filtration pulse sequence using the $$$T_1$$$ relaxation pathway. However, for quantitative
measurements a pulse sequence yielding a quantitative $$$T_1$$$-TQ/SQ ratio similar to the $$$T_2$$$-TQ/SQ ratio of the TQTPPI pulse
sequence is necessary. Thus, the pulse sequence needs to be capable to simultaneously
determine SQ and TQ signals, and bi-exponential $$$T_1$$$ relaxation times.
This study proposes
an inversion recovery TQTPPI (IRTQTPPI) pulse sequence for quantitative -TQ/SQ ratio
measurements similar to the original TQTPPI pulse sequence. To obtain reliable
fit results, two different phase cycles are proposed to cancel out DQ signal.Material and Methods:
Fig.1 shows the IRTQTPPI pulse sequence
consisting of a 180° pulse and two 90° pulses. The 180° pulse inverts
longitudinal magnetization and during the subsequent evolution time interval
biexponential $$$T_1$$$ relaxation processes transfer magnetization
via $$$T_{10}\rightarrow T_{30}$$$. A following 90° pulse converts
the $$$T_{30}$$$ magnetization to $$$T_{3\pm3}$$$, TQ signal. The second 90° pulse
transfers this magnetization to $$$T_{3-1}$$$ and relaxation processes result in observable
SQ signal via $$$T_{3-1}\rightarrow T_{1-1}$$$. Imperfect pulses lead to the
creation of a DQ signal, which affects the quantification of SQ and TQ signals.
Thus, we propose two DQ suppression methods based on constructive and
destructive interference of wanted and unwanted signal components, respectively.
Phase cycle 1 reduces the impact
of an imperfect inversion of the 180° pulse by altering the phase of the 180°
pulse between 0 and 180°. The phase alteration does not affect longitudinal
magnetization, while transverse magnetization destructively interferes.
Phase cycle 2 alters the phase of
the second pulse by $$$\pm135^\circ$$$. This leads to destructive
interference of signal components with even coherence differences, like the transition
$$$T_{30}\rightarrow T_{3\pm2}$$$. The phase alteration causes a phase
shift between the SQ and TQ signal of 180°.
Measurement data was acquired at
a 9.4T preclinical MRI (Bruker Biospec 94/20) using a linear 1H/23Na
Bruker volume coil. The samples consisted of [2,4,6]% w/w agarose phantoms with
154mM NaCl. The IRTQTPPI FID was non-linearly fitted by
$$Y(t)=\sin(\omega
t+\phi_1)\cdot\left(1-A_{SQ,1}e^{-t/T_{1f}}+A_{SQ,2}e^{-t/T_{1s}}\right)+A_{TQ}\sin(3\omega
t+\phi_2)\left(e^{-t/T_{1f}}-e^{-t/T_{1s}}\right)+DC$$
where $$$Y(t)$$$ is the IRTQTPPI FID amplitude and $$$A_{SQ,i}$$$ and $$$A_{TQ}$$$ are the amplitudes of the SQ and TQ signals,
respectively. $$$T_{1s}$$$ and $$$T_{1f}$$$ are the slow and fast relaxation times,
respectively. The mean and standard deviation of the fit parameters were determined
by averaging 100 fit results with random initial values.Results/Discussion:
Compared to the TQTPPI FID, the
IRTQTPPI FID features a zero-crossing of the SQ signal (Fig.1b and Fig.2). This
zero-crossing approximately coincides with the TQ signal maximum and thus only
the TQ signal contributes to the signal in this region. Consequently, the
zero-crossing may improve the determination of the TQ signal using nonlinear
FID fit.
Fig.3 shows an exemplary IRTQTPPI
spectrum compared to TQTPPI spectrum. The $$$T_1$$$-TQ peak was smaller compared to
the $$$T_2$$$-TQ peak using 2% w/w agarose,
for which slow interactions dominate. The rebuild of thermal equilibrium $$$T_{10}$$$ which results in a higher SQ signal amplitude
and insensitivity of the $$$T_1$$$-TQ signal to very slow motion
cause the smaller relative $$$T_1$$$-TQ peak. Moreover, the
contribution of DQ signal to the IRTQTPPI FID significantly reduced the reliability
of fit parameters (Tab.1). Hence, the IRTQTPPI pulse sequence required a DQ
suppression for reliable and stable determination of fit parameters.
Fig.4 show exemplary IRTQTPPI spectra
of both DQ suppression phase cycles. In both cases, DQ signal substantially
reduced. However, phase cycle 1 did not substantially improve the reliability
of the nonlinear FID fit. In contrast, phase cycle 2 provided stable fit
results, even though this method yielded a $$$\sqrt{2}$$$ times lower signal amplitude than phase cycle
1. Phase cycle 2 caused a 180° phase shift of the TQ peak relative to the SQ
peak (Fig.4). This may resulted in an improved separation of SQ and TQ signals
and thus more reliable fit results.Conclusion
The IRTQTPPI pulse sequence
combined with phase cycle 2 for DQ suppression provides a novel and reliable
method to simultaneously quantify SQ and TQ signals, and bi-exponential $$$T_1$$$ relaxation times. This pulse sequence yields
valuable information about sodium-protein interactions on an intermediate
motional regime, and thus can improve the characterization of the sodium MR environment.Acknowledgements
No acknowledgement found.References
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