Valentin H Prevost1, Olivier M Girard1, Samira Mchinda1, Gopal Varma2, David C Alsop2, and Guillaume Duhamel1
1Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France, 2Division of MR Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
Synopsis
A
new implementation of inhomogeneous magnetization transfer (ihMT) has recently been
introduced, consisting of concentrating the RF energy deposition within the
saturation period and demonstrating a significant boost of the ihMT sensitivity.
The boost effect has been
characterized in this study among different ihMT sequences, species and field strengths
and reveals common features. The optimal sequence settings vary with the number
of consecutive MT pulses and are presumably related to the timescale of the
underlying T1D components and
magnetization exchange rates.
Purpose
Inhomogeneous
magnetization transfer (ihMT) has been recently presented as a technique
sensitive to structures with strong residual dipolar coupling and long dipolar
relaxation time T1D, such
as myelinated tissues (1). The ihMT signal measured in white matter (WM)
has been reported roughly 10% of the unsaturated free water signal. A recent
finding demonstrated that significant boost of ihMT sensitivity can be obtained
with more efficient use of the energy during the saturation period, by
concentrating the power deposition phases, and by interleaved them with
exchange periods to allow magnetization exchange from the bound pool to free
water (exchange rate R). These novel ihMT implementations have been introduced
in human with 3D GRE (2) and 2D prepared SE-EPI sequences (3) at 1.5 and 3T respectively. The current work
presents an optimization study of the boost
effect on human, completed by a similar preclinical approach on mouse to
allow use of stronger saturation intensities (B1sat), limited on human scanners.
In addition, for preclinical studies, the boost
approach was combined with T1D-filtering (4) allowed by the ihMT technique to study the
interdependency of these mechanisms.
Method
Boosted ihMT techniques: As shown on Figure 1, concentrating
the power deposition phases is a self-contained feature in ihMT-GRE approach
because of the interleaving of ihMT and readout modules, and is governed by TR.
Similarly, a boost sequence design can
been implemented on an ihMT prepared 2D-RARE sequence by introducing delays
within the presaturation period. The power concentration is in this latter case
governed by the Boost Repetition Time (BTR).
MR experiments for this study were
performed with
i) a clinical 1.5T scanner (Avanto,
Siemens Healthcare, Erlangen, Germany) on 3 healthy volunteers. 3D ihMT-GRE (TE
4.8ms, 2.5mm iso) sequences were investigated as a function of TR for a
constant average power (B1rms = 5.5mT) and bursts
of 6, 12 and 18 consecutive MT pulses (pw/Δt=0.5/1ms, Δf=±7kHz (2)).
and ii) a Bruker Avance 500 MHz/89mm wide bore vertical imager on anaesthetized
healthy mice (10 weeks, n=3). 2D single shot ihMT-RARE (TR/TE=3.4s/1.82ms, 0.3x0.3x1mm) were investigated as a function of BTR for a constant
average power (B1rms = 6.7mT) and bursts
of 6, 12 and 18 consecutive MT pulses (Δf=±10kHz, pw/Δt=3/3.3ms for strong T1D-filtering
conditions, and pw/Δt=1/1.3ms for weak T1D-filtering
conditions).
Quantitative analyses were performed in highly
myelinated pyramidal tracts (PT) for humans and Internal Capsules (IC) for
mice.
Results
Figure
2 shows ihMTR boost signal evolution as a function of TR and BTR for
humans/3D ihMT-GRE and mice/2D ihMT-RARE. In both cases, a similar trend for bell-shaped
functions was observed, with first, ihMT signal enhancement with TR/BTR,
then reaching a maximum and eventually followed by a decay (clearly visible in
mouse at longest BTR values for bursts of 6 and 12 pulses). Figure 2
also suggests that for both humans and mice, bursts of 12 consecutive MT pulses
led to optimal boost effect, providing
at TR=67ms/BTR=90ms sensitivity gain of ~40-50% compared to that of
the most distributed energy deposition scheme (i.e. for shortest TR/BTR values).
For T1D-filtered data, the
ihMT signal evolution showed similar trend although with lower gain (~5-15%) obtained
for the optimal BTR.
Discussion
The ihMT boost
effect is a common property of
steady-state interleaved ihMT-GRE and ihMT prepared single shot readout approaches,
with similar trends of the characteristic curves despite differences in species,
sequence design, scanners and magnetic field strengths. Of interest, the lower boost effect obtained for the strong T1D-filtering approach compared
to that with weak T1D-filtering
might indicate that the boost effect is
more efficient for short T1D
components. This can also be appreciated by the significant ihMT signal
increase obtained in muscle (Fig. 2b, orange arrowheads), which has a T1D value of ~2ms, that is 3x
lower than WM and Gray Matter(5). The bell-shaped curves describing
the ihMT boost effect may indicate
that the optimal TR/BTR result from a tradeoff between the exchange
rate R and the concentration of RF energy within the ihMT burst. Then, shorter optimized
BTR compared to TR obtained in this study would be in agreement with
similar concentration of energy ([12 pulses]x[1ms Δt]/[67ms TR]~0.18 for human and [12
pulses]x[1.3ms Δt]/[90ms
TR]~0.17 for mouse) and smaller R value for mouse compared to human (1).
Conclusion
The
boost effect has been characterized
among different ihMT sequences, species and field strengths and reveals common
features. The optimal sequence settings vary with the number of consecutive MT
pulses and are presumably related to the timescale of the underlying T1D components and
magnetization exchange rates.
Acknowledgements
Support from A*MIDEX grant (n°ANR-11-IDEX-0001-02) funded by the
French Government “Investissements d’Avenir” program.The authors thank N.C. for animal handling.References
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