Fabian Niess1,2, Albrecht Ingo Schmid1,2, Wolfgang Bogner2,3, Michael Wolzt4, 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, 3Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria, 5NMR Laboratory, Institute of Myology, Paris, France
Synopsis
Multivoxel
31P
semi-LASER was used to
acquire time-resolved
spectra from two positions
along the gastrocnemius medialis muscle during
rest, exercise
and recovery.
Simultaneously, quantitative perfusion- and T2*-weighted
images
of the calf were
acquired with multislice 1H
ASL MRI, in an interleaved
fashion.
Significantly
different results
were found with
31P
MRS along
gastrocnemius medialis:
proximally, end-exercise
PCr depletion was higher,
PCr recovery times longer, end-exercise pH was
lower and maximum oxidative
capacity was also lower.
Significantly
higher post-exercise
perfusion and slightly
stronger T2*-weighted
signal increase were
found in
proximal slices, which is
consistent
with the aforementioned
distribution of metabolic
activity.
Introduction
The
distribution of workload between individual
muscles leads
to heterogeneous activation patterns associated
with
spatially distinct metabolic activity across an exercising limb. This
has been taken into account in various studies
employing localized
31P
MR spectroscopy1-3. So
far, the recruitment of tissue along the muscle has been implicitly
assumed to be homogeneous, i.e. potential variations have been
largely ignored. Recently,
Boss, Heskamp
et al.4 discovered that the oxidative capacity varies not only
between muscle groups but also along the length of one specific
muscle (tibialis anterior) and later
confirmed a gradient of O2
supply and perfusion in sequential measurements5.
We
recently presented a pulse sequence combining arterial spin labelling
1H
MRI and multivoxel 31P
MRS, which allows for time-resolved measurements of perfusion,
oxygenation and oxidative phosphorylation at multiple independent
positions in an interleaved fashion6 within a single exercise-recovery
experiment.
Here we show first results obtained by applying
this sequence to investigate human calf muscle groups spatially
resolved lengthwise, during plantar flexion exercise.Methods
Pulsed
arterial spin labeling (ASL) with FAIR tagging was applied
using global/slice-selective inversion7 fully overlapping with the
readout slab (Fig.1). The blood inflow time was 1.3s, followed by
200ms Q2TIPS saturation before ten EPI slices were acquired without
slice gaps (TE=20ms, d=6mm) in sequential order (direction H-F).
Following 1H-ASL, a multivoxel 31P semi-LASER
acquisition scheme8 was applied in gastrocnemius medialis (GM) at
the distal and the proximal half of the 6cm box covered by the
imaging readout (Fig.1 , GMdist=GMprox=25cm³,
TE=29ms) . The acquisition delay between the voxel positions was 3s.
Total TR was 6s, resulting in a set of perfusion images
every 12s.
Five
healthy volunteers were measured during 2 min rest, 3 min plantar
flexion exercise at approximately 40% MVC on a non-magnetic pneumatic
ergometer, and 10 min recovery.
Measurements
were performed at 7T (Siemens, Erlangen, Germany) using a calf shaped
multichannel 1H/31P transceiver surface
coil-array9.
Image
reconstruction and postprocessing was performed using Siemens’ ICE
and Matlab for spatially resolved calculation of perfusion and
T2*-weighted time courses.
Processing
of spectra was performed on raw data using python for phasing and
channel combination. Spectral quantification was done using jMRUI
with AMARES followed by monoexponential PCr recovery time fitting
using gnuplot.Results
Time
series 31P spectra acquired at the distal and
proximal position of GM were sucessfully quantified throughout the
experiment. Fig.2 shows results of one representative subject.
PCr
depletion, pH, PCr recovery time (τPCr)
and the maximum oxidative capacity Qmax
were derived from 31P
spectra from both positions for each subject (Fig.3).
Further,
individual post-exercise perfusion (120-180s
averaged
during recovery) and maximum T2*-weighted
signal increase in GM during recovery were calculated from 1H
data acquired during the same time as 31P
spectra for distal (no.3) and proximal (no.10) slices
(Fig.3).
Proximo-distal
differences of perfusion and T2*-weighted signal increase
is illustrated in Figs.4 and 5 showing post-exercise perfusion maps with
perfusion time courses and T2*-weighted images with
T2*-weighted time courses of GM, gastrocnemius lateralis
(GL) and soleus (SOL) of one representative subject.
The response to exercise in GM was significantly different between
distal and proximal positions. All subjects showed proximally higher
end-exercise PCr depletions and PCr recovery times in accordance with
a lower end-exercise pH. Qmax was significantly lower
proximally.
Additionally we found a significantly higher post-exercise perfusion
for all subjects in proximal compared to distal slices in GM, while
differences between peak T2*-weighted data were not
significant.Discussion/Conclusion
The
different findings with 31P
MRS at proximal and distal positions in GM
(higher activation proximally) are consistent with perfusion and T2*
data acquired simultaneously. This consistency inherently also supports the notion
that apparent differences in perfusion at different slice positions
reflect a true physiological effect and are not likely to be the
result of a systematic error of the multislice protocol.
Spatial differences of
perfusion were stronger in GL, however, the cross-sectional area of GL
strongly decreases distally, precluding placement of a distal 31P
voxel.
We also excluded two 1H
slices at the distal end in post processing as the ROI in GL was too
small.
A limitation is the length of our 1H
coil for tagging inflowing blood, which might affect absolute perfusion values. Our
results showed higher muscle activation proximally, which is in
excellent agreement with literature4-5 with the methodical surplus of
simultaneous data acquisition during a single exercise-recovery
experiment. In contrast to (4) we measured a more glycolytic muscle, showing significantly lower pH and hence slower PCr recovery rates
proximally.
This method allows for linking complementary information from a single exercise and will improve the investigation of metabolic parameters.Acknowledgements
This work has been funded by the Austrian Science Fund (FWF): I1743-B13References
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