Dynamic pH quantification from spectrally selective 31P MRI in exercising skeletal muscle
Albrecht Ingo Schmid1,2, Martin Meyerspeer1,2, Simon Daniel Robinson2,3, Martin Krssak2,3,4, Michael Wolzt5, Ewald Moser1,2, and Ladislav Valkovic2,3

1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 2MR Centre of Excellence, Medical University of Vienna, Vienna, Austria, 3Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Internal Medicine 3, Medical University of Vienna, Vienna, Austria, 5Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria

Synopsis

MR spectroscopy provides valuable information about tissue metabolism but suffers from slow acquisition or poor spatial resolution and coverage. PCr and pH kinetics are the two important quantities derived from 31P MR data. MRI has been used to measure PCr in the past, but not pH. Simultaneous fast 3-D gradient-echo images of PCr and Pi were acquired in healthy volunteers at 7T during exercise recovery. pH was calculated from phase images. Results of PCr and pH kinetics are comparable to MRS data. In conclusion, 31P MRI is an alternative to 31P MRS for fast coverage of multiple ROIs and low SAR.

Purpose

31P MRS has been used to quantify energy metabolism by means of dynamics of tissue PCr and pH kinetics for at least 30 years. A high spatial and temporal resolution is desired to capture the dynamics of sever tissues1. CSI suffers from slow acquisition speed while single voxel MRS is limited in tissue coverage. Therefore, 31P MRI has been introduced to quantify PCr kinetics in exercise recovery2, but so far, pH values derived from MRI have not been reported. We propose a multiply spectrally selective gradient-echo MRI pulse sequence that is capable of measuring both PCr and Pi with their respective chemical shifts.

Methods

Time-interleaved acquisition of spectrally selective k-space lines was inserted in a low flip-angle 3-D gradient-echo pulse sequence (Figure 1). The phase difference Φ between the set of images is TE times the chemical shift Ω (figure 2), Therefore, by acquiring N sets of images at different resonance frequencies, N metabolite images can be acquired quasi simultaneously (shifted by TR/N). pH can be calculated from the chemical shift between PCr and Pi.

10 healthy volunteers (2m/8f) were studied using a Siemens 7 T scanner and a Rest - Exercise – Recovery protocol. Within the study, adaptations were made to increase the mechanical duty cycle (exercise duration between 3 and 5 min)3 and speed up measurements:

Subject 1-6: 16x16x6 2 ml voxels, acquisition time 5.8 s, 4.2 s delay for 2 plantar flexions.

Subject 7-10: 16x16x4 3 ml voxels, acquisition time 3.8 s, 5.2 s delay for 3 plantar flexions.

Acquisition parameters: $$$TR=60 ms$$$, 2 acquisitions at Ω=(0,4.8) ppm, TE=3.8 ms, RF pulse: 5 ms/350 Hz. Short echo times are required for Pi (T2* decay), therefore a relatively high receiver bandwidth (280 Hz/px) was used.

ROI-based analysis of images corresponding to gastrocnemius medialis, lateralis and soleus muscles was performed. Magnitude images give bias in low SNR data (Figure 3), therefore real-value absorption mode images were used for quantifying PCr kinetics. PCr was integrated over the ROI and fitted mono-exponentially during recovery. The chemical shift and hence pH was calculated from temporally unwrapped phase of the ROI-integrated complex data. Analysis was performed using in-house developed software using PDL (http://pdl.perl.org) and Prima toolikt (http://www.prima.eu).

To validate the data, MRS data (single-voxel semi-LASER) was also acquired in gastrocnemius medialis using the same exercise protocol in the same scan session. Spectra were quantified using jMRUI/AMARES. PCr recovery was fitted mono-exponentially.

Results are given as mean and standard deviation. Intra-subject comparisons were done using a paired student's t-test.

Results

Both PCr and Pi gradient-echo images with high temporal and spatial resolution were acquired. PCr was readily visible without averaging in as little as 3.8 s, Pi has a low concentration (and signal) at rest (Fig. 4b). It was only visible in voxels of muscles involved in exercise (Figure 4d). PCr depletion was higher in gastrocnemius (medialis: 43±13%, lateralis: 48±17 %) than in soleus (20±11%). The recovery time τPCr could be fitted when the depletion was higher than 20% (gastrocnemius 10 subjects; medialis 75.7±22.1 s, lateralis 93.1±40.8 s, soleus 6 subjects; 75.6±37.9 s). In accordance with prior experience and spectroscopy data (Table 1), pH (Figure 4e) rose initially in all muscles and subsequently declined more in stronger exercising gastrocnemius (medialis 6.74±0.18, lateralis 6.65±6 0.27) than in soleus (6.96±0.12) during exercise. When averaged over several images, even resting pH can be calculated for a given ROI (Table 1).

Discussion and Conclusion

In this study, we present a frequency-selective fast 3-D gradient-echo sequence for simultaneous acquisition of signals from multiple metabolites. The phase images contain the spectral information. Signal dependent noise distribution in magnitude images might introduce a systematic error and thus bias the quantification of PCr towards lower depletions and longer recovery times. Therefore, real part images, with symmetric and signal-independent noise distribution, were used for quantification of PCr dynamics.

At the chosen echo-time, phase wraps do not occur over the physiological pH range. Some bias from PDE or ATP signals could introduce some error, negligible under most conditions. The point-spread function of low resolution MRI is worse than the semi-LASER voxel profile, probably explaining the discrepancy in PCr depletion.

In conclusion, we report that the combined high temporal and spatial resolution achieved with the designed 31P-MRI sequence represents a valuable low-SAR alternative to MRS for simultaneous PCr and Pi imaging during exercise-recovery experiments. The simultaneous and rapid measurements of both images enable the calculation of intracellular pH during the dynamic experiments, and will potentially allow for the identifying localised injuries, myopathies or functional deficits in peripheral arterial disease.

Acknowledgements

This work has been supported by the Austrian BMWFJ FFG Project Nr 832107, "Research Studio for High Field MR Components".

References

1 Fiedler GB et al. Localized semi-LASERdynamic 31P magnetic resonance spectroscopy of the soleus during afollowing exercise at 7T. MAGMA. 2015 Oct;28(5):493-501. doi: 10.1007/s10334-015-0484-5

2 Greenman RL et al. Fast imaging of phosphocreatine using a RARE pulse sequence. Magn Reson Med 1998;39:851–854.

3 Schmid AI et al. Dynamic PCr and pH Imaging of Human Calf Muscles During Exercise and Recovery Using 31P Gradient-Echo MRI at 7 Tesla. Magn Reson Med 2015. doi: 10.1002/mrm.25822

Figures

Figure 1: 3-D Gradient echo pulse sequence for interleaved acquisition of spectrally selective k-space lines. Images are temporally shifted by TR/2.

Figure 2: Phase difference Φ of PCr and Pi and the chemical shift as a function of time. The box indicates the exercise period (min 3 - 7.5). A chemical shift of 4.8 corresponds to typical resting pH values. The reliability of the phase is low post-exercise, where Pi signal is known to be very low.

Figure 3: PCr evolution during exercise and recovery. The apparent depletion and recovery time are biased in magnitude images. To illustrate the effect, depletion and τPCr were quantified in a subgroup. Subject numbers do not correspond to those in table 1.

Figure 4: Transversal PCr images (a,c) and Pi images (b,d) at rest and during exercise. e: pH image overlaid on proton image. Opacity is increasing with SNR.

Table 1: Parameters of PCr and pH evolution from gastrocnemius medialis muscle derived from MRS and MRI data. Most of the values are in good agreement, validating the MRI data.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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