Fabian Niess1,2, Albrecht Schmid1,3, Georg Bernd Fiedler1,2, Roberta Frass1,2, Wolfgang Bogner2,4, Alfredo Lopez Kolkovsky5, Pierre Carlier5, Ewald Moser1,2, and Martin Meyerspeer1,2
1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 2MR Center of Excellence, Medical University of Vienna, Vienna, Austria, 3Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 4Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 5NMR laboratory, Institute of Myology, Paris, France
Synopsis
To
quantify perfusion and high-energy metabolite time courses of
exercising gastrocnemius and soleus muscles in one time-resolved
acquisition, 1H arterial spin labeling with multislice EPI was
interleaved with multivoxel semi-LASER 31P-MRS.
Perfusion
mapping and T2* weighted MRI yielded reasonable time courses and were
less sensitive to motion, compared to single slice acquisitions.
Spectroscopic time courses of phosphocreatine, inorganic phosphate
and pH with fitted PCr recovery time constants were consistent with
literature in both GM and SOL. A significant 31P SNR increase was
found when the VOI perceived adiabatic 1H inversion which can be
explained by NOE.
Introduction
MR is a valuable tool to investigate dynamic changes of metabolically
relevant parameters, in particular rates of oxidative phosphorylation
in muscle tissue during exercise and recovery using 31P MRS1. On
the other hand, arterial spin labeling in 1H-MRI is a non-invasive
technique to quantify perfusion during and after stimulation without
contrast agents2.
It is possible to
combine these two methods into a single time-resolved measurement,
which has the advantage of giving a much more comprehensive picture
on muscle metabolism by confronting information on high-energy
metabolites with blood perfusion on oxygenation state3.
Here, we present
first results with an implementation of such a technique at 7T, using
a technical modification to allow switching between different
receiver frequencies4.
Methods
A
pulsed arterial spin labeling (ASL) sequence with FAIR tagging
scheme, SQ2TIPS and EPI readout5 was temporally interleaved with a
multivoxel 31P semi-LASER acquisition scheme6 as shown in Figure
1.
Seven
EPI slices were acquired in sequential order (direction: H-F) without
slice gaps (d=6mm each, TE=20ms). The slice group fully overlapped
with the ASL selective inversion slab during control as shown in
Figure 2a. TR was 6s, resulting in a set of perfusion images every
12s.
Following
the image readout, 31P spectra of gastrocnemius medialis (GM: 81cm³)
and soleus (SOL: 67cm³) were acquired with a delay of 3 seconds
(TE=29ms)6 see Figure 1. VOIs were placed as shown in Figure 2.
Measurements were performed at
7T (Siemens, Erlangen, Germany) using a calf shaped multichannel
1H/31P transceiver surface coil-array7. The protocol comprised 2
minutes rest, 3 minutes plantar flexion exercise on a non-magnetic
pneumatic ergometer, and 10 minutes recovery.
A
potential Nuclear Overhauser Effect (NOE) related 31P signal
enhancement caused by 1H selective/global inversion was investigated
in resting muscle.
Images
were reconstructed using Siemens’ ICE and evaluated using Matlab to
calculate perfusion and T2* weighted time courses of both muscles
using regions of interest as shown in Figure 2d.
Processing
of spectra was performed on raw data files using python for phasing
and channel combination. Spectral quantification was done using jMRUI
with AMARES followed by PCr recovery time fitting using gnuplot.
Results
Perfusion,
T2*-weighted MRI and phosphocreatine, inorganic phosphates and pH
time courses were successfully quantified from a single
exercise-recovery experiment.
The
perfusion map and the T2* weighted EPI images of a single healthy
volunteer showing the difference between post exercise peak and rest
are shown in Figure 3a,b together with the perfusion and T2* weighted
time courses (mean over slice 2-4) of GM and SOL in Figure 3c,d.
Mean
perfusion was relatively stable during exercise and increased up to
37 ml/100g/min in GM and 24 ml/100g/min in SOL during recovery.
The
T2* weighted signal increased by 10% in GM and decreased by 12% in
SOL during recovery compared to rest.
PCr
and Pi time courses (unaveraged) together with pH time courses (2x
averaged) of GM and SOL are shown in Figure 3e,f. In GM, PCr
decreased to 41% during exercise and end exercise pH reached 6.8
while SOL depleted to 87% only and pH stayed neutral. PCr recovery
time constant τ was 33s in GM (with insufficient depletion in SOL
for quantification of τ).
The
inversion of the proton spins had a significant impact on the 31P
signal. SNR was significantly higher (p<0.05) if the 31P VOI
perceived 1H inversion (Figure 4).
In
experiments where the selective inversion slab (control) did not
affect the 31P VOI (i.e., by moving the inversion slab out of the VOI
for test purposes), SNR was significantly lower compared to spectra
acquired after global inversion.
Discussion
Interleaving
ASL and multivoxel 31P-MRS at 7T was successfully shown.
The
gap-less multislice EPI readout for ASL helped decrease motion
related artifacts5 such as partial volume effects from neighbouring
unsaturated spins moving into the imaging slice and resulted in high
stability even during exercise.
No
signal loss was observed when combining the methods. Interestingly,
the adiabatic inversion of the 1H-ASL part was found to increase the
SNR in 31P-MRS, presumably due to NOE.
In
future experiments, dedicated NOE-pulses may be explored to further
increase 31P- SNR independently of voxel and slice placement.
Conclusion
This
work demonstrates the successful implementation of time-resolved
measurements of perfusion (1H-MRI) and of energy metabolism (31P-MRS)
of different exercising human calf muscle groups simultaneously at
7T.
This
will improve the investigation of metabolic parameters in exercising
human muscle tissue at ultra-high field by providing complementary
information, enabling clinical applications.
Acknowledgements
This work has been funden by the Austrian Science Fund (FWF): I1743-B13
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