31P MRSI of Human Calf muscles Using Flyback Echo Planar Spectroscopic Imaging (EPSI) Readout Gradients
Alejandro Santos Diaz1, Alireza Akbari1, and Michael Noseworthy1,2,3

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St Joseph's Healthcare, Hamilton, ON, Canada, 3Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

Synopsis

Long acquisition time due to the low sensitivity is one of the main constrains for using 31P MRSI on a regular basis. Different methods have been proposed to accelerate the acquisition showing advantages and limitations. In this work we present for the first time an in vivo experiment using flyback-Echo Planar Spectroscopic Imaging readout and compare it with the traditional fidCSI sequence. Results suggest that the technique might be suitable for clinical applications.

Purpose

Phosphorus Magnetic Resonance Imaging (31P-MRSI) is capable of assessing high energetic metabolites like phosphocreatine (PCr) within human tissue. The main limitation for its use on a regular basis is the long acquisition time required due to the limited sensitivity. The latest efforts to address this issue while preserving as much SNR as possible have focused on using a GRAPPA acquisition scheme [1] and the compressed sensing approach for traditional spatial localization techniques [2], [3]. In a previous comparison of fast spectroscopic imaging methods [4], flyback-Echo Planar Spectroscopic Imaging (EPSI) showed to be very robust and insensitive to timing errors, making it a worthy choice. Our group previously reported the implementation of 31P-EPSI using a flyback readout [5], tested in a phantom and showed reliable data to be used in vivo. The purpose of this study was to test the mentioned sequence in human calf muscle.

Methods

Experiments were performed using a 3T GE MR750 scanner (GE Healthcare, Milwaukee, WI) and a home designed/built 31P-tuned (51.705 MHz) 7.62cm(3 inch) surface coil tuned specifically for calf muscle Flyback echo planar gradients (Fig. 1) were designed to achieve 2 cm resolution, over a 24 cm field of view (FOV) (i.e. 12x12 matrix) using a spectral bandwidth of 1302 Hz, slice thickness = 4cm and TR = 1500 ms. In order to produce the full spectral bandwidth coverage, acquisitions were interleaved twice. 31P-EPSI data using 4, 8 and 16 averages were compared to same data acquired using pulse-acquire (fidCSI) sequence. Acquisition time and SNR of the PCr peak were measured. Reconstructed data was first interpolated in order to fit a rectilinear grid an then phase corrected [6]. No line broadening was applied in this preliminary analysis.

Results

The sequence was capable of achieving a 6x acceleration when compared to regular fidCSI for NEX=8. The phosphorus images, created as the area under the PCr peak and resized (interpolated for display), correlated well spatially with both the anatomical reference and the CSI data (Fig. 1). Table 1 summarizes the SNR and scan times for all acquisitions.

Discussion

Our in vivo results are consistent with what was previously reported using phantoms [5]. The sequence tested in this work appears to be reliable alternative to routine fidCSI, achieve fast 31P-MRSI data in applications with relatively low spectral bandwidth.

Acknowledgements

To CONACYT for the scholarship granted, CVU: 304930.

References

[1] R. Srinivasa Raghavan, a Panda, J. Valette, J. James, K. Heberlein, U. Boettcher, P. Henry, N. Bansal, and U. Dydak, “31P Spectroscopic Imaging with GRAPPA,” Proc. 17th Sci. Meet. Int. Soc. Magn. Reson. Med., vol. Honolulu, no. 4, p. 4317, 2009.

[2] G. H. Hatay, “Accelerated Phosphorus MR Spectroscopic Imaging of Human Brain Using Compressed Sensing,” Proc. Intl. Soc. Mag. Reson. Med. 21, vol. 58, 2013.

[3] M. Yildirim, G. H. Hatay, E. Okeer, K. Nicolay, B. Hakyemez, and E. Ozturk-Isik, “Fast phosphorus MR spectroscopic imaging of human brain using compressed sensing,” in 2014 18th National Biomedical Engineering Meeting, 2014, pp. 1–4

[4] M. L. Zierhut, E. Ozturk-Isik, A. P. Chen, I. Park, D. B. Vigneron, and S. J. Nelson, “(1)H spectroscopic imaging of human brain at 3 Tesla: comparison of fast three-dimensional magnetic resonance spectroscopic imaging techniques.,” J. Magn. Reson. Imaging, vol. 30, no. 3, pp. 473–480, 2009

[5] M. D. Obruchkov, Sergei I.; Noseworthy, “Echo planar spectroscopic imaging of phosphorus and hydrogen using flyback echo planar readout gradients,” in ESMRMB 2009 congress, 2009, p. e–76.

[6] C. H. Cunningham, D. B. Vigneron, A. P. Chen, D. Xu, S. J. Nelson, R. E. Hurd, D. a. Kelley, and J. M. Pauly, “Design of flyback echo-planar readout gradients for magnetic resonance spectroscopic imaging,” Magn. Reson. Med., vol. 54, no. 5, pp. 1286–1289, 2005.

Figures

Fig 1. PCr image as an overlay on the anatomical reference. A. FIDCSI. B. FLYBACK-EPSI (NEX=8).

Fig 2. Example of spectrum acquired with (A) fidCSI, (B) flyback-EPSI. (NEX=16). It is possible to identify PCr, Pi, γ-ATP and α-ATP.

Table 1. Scan Time and SNR for the sequences tested. (*) sequences compared directly



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