A robust T1ρ-mapping method for in-vivo glucose detection at 7T whole-body scanners
Patrick Schuenke1, Moritz Zaiss1, Christina Koehler2, Alexander Radbruch2,3, Mark Edward Ladd1, and Peter Bachert1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany, 3Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

Synopsis

Recently it was demonstrated that on–resonant chemical–exchange–sensitive spin–lock (CESL) allows to observe the uptake of administered D–glucose in vivo and thus could be used for glucose metabolism studies. However, conventional spin–lock produces artifacts owing to B1–field inhomogeneities, which are a common problem especially at high-field whole-body MR scanners. Therefore we developed an adiabatic water–T mapping sequence which outperforms conventional spin-lock sequences with respect to its insensitivity to B1–inhomogeneities; its sensitivity to glucose in the millimolar range as well as its applicability to in vivo studies is proven.

Purpose

Recently, spin–lock received new interest in MRI: it was demonstrated that on–resonant chemical–exchange–sensitive spin–lock (CESL) and related techniques allow to observe the uptake of administered D–glucose in vivo1-5 and thus "could be a highly sensitive and quantifiable tool for glucose transport and metabolism studies".1 The exchange–weighting increases with the magnetic field strength (B0)6,7. However, conventional spin–lock produces artifacts owing to B0– and B1–field inhomogeneities, which are a common problem especially at high-field whole-body MR scanners. Our aim was the development of an adiabatic water–T mapping sequence applicable to studies of glucose metabolism in tumor patients with the following features: insensitivity to field inhomogeneities, SAR compatibility and appropriate temporal resolution.

Methods

Two on–resonant spin–lock sequences with centric–reordered 2D–GRE readout were implemented on a 7–T whole–body scanner (MAGNETOM; Siemens, Erlangen, Germany): (i) a conventional spin–lock sequence (SL) using a 90° Gaussian–shaped hard pulse (tp = 1 ms) to tilt the magnetization and (ii) an adiabatic spin–lock sequence (adiaSL), where the Gaussian–shaped pulses are replaced by adiabatic half–passage pulses. Using Bloch–McConnell simulations the sequence parameters were optimized considering technical and SAR limitations and verified in phantom and in vivo experiments. Quantification of T was done for each pixel by fitting a monoexponential function to data obtained for different locking times (TSL). A water phantom (∅ ≈ 10 cm, 4g/L NiSO4 and 5g/L NaCl) and a set of four 30–ml PBS phantoms (pH = 7.00) with glucose concentrations between 5 and 20 mM were used in the in vitro experiments. An in vivo measurement was performed in the brain of a gliosarcoma patient.

Results and Discussion

Figure 1a shows the measured R–decay curves obtained with both sequences for two ROIs (marked in the relative B1–map, Fig. 1b) of the water phantom. Unlike the two decay curves for the adiaSL sequence (solid lines), the curves for the SL sequence (dashed lines) differ substantially and show oscillating signals for short TSL, which can be explained by unequal orientations of the locking field and the initial magnetization. Figures 1c and 1d show the maps of the fitted magnetization at TSL = 0 ms (S0) and Fig. 1e and 1f the fitted T–maps for the adiaSL and SL sequence, respectively; the maps of both techniques agree in the center. The maps obtained by adiaSL are uniform across the whole phantom, while the values from the SL sequence vary strongly within the homogeneous phantom. Especially the S0–map shows a strong correlation to the B1–map. Figure 2a shows the R–contrast obtained with the adiabatic spin-lock sequence for the four glucose–containing phantoms. The R–values are uniform within the different phantoms, which are well distinguishable among each other. Figure 2b displays R as a function of the glucose concentration showing a linear correlation as expected from theory1. Figure 3 displays the results of the in vivo measurements in the brain of a gliosarcoma patient. The T2-weighted image is shown in Fig. 3a and the corresponding R–maps obtained with the conv. and adiabatic spin-lock sequence are shown in Fig. 3b and 3c, respectively. Several artifacts owing to B1-imhomogeneities are visible in the R-map obtained with the conv. SL sequence (Fig. 3b). These artifacts are clearly reduced in the R-map obtained by the adiabatic SL sequence (Fig. 3c).

Conclusion

The implemented adiabatic spin–lock sequence outperforms the conventional spin-lock sequence with respect to its insensitivity to B1–field inhomogeneities. The optimized adiabatic sequence obeys SAR limits of clinical high–field whole–body scanners; its sensitivity to glucose in the millimolar range as well as its applicability to in vivo studies is proven. So far the approach has been used to examine three brain-tumor patients in a clinical glucose injection trial. However, due to the necessity of motion correction the evaluation is still an ongoing process.

Acknowledgements

No acknowledgement found.

References

[1] Jin T, Mehrens H, Hendrich KS, Kim S-G. Mapping brain glucose uptake with chemical exchange-sensitive spin-lock magnetic resonance imaging. Journal of cerebral blood flow and metabolism. 2014;(April):1–9

[2] Zu Z, Spear J, Li H, Xu J, Gore JC. Measurement of regional cerebral glucose uptake by magnetic resonance spin-lock imaging. Magnetic resonance imaging. 2014 Jun 21.

[3] Chan KWY, McMahon MT, Kato Y, Liu G, Bulte JWM, Bhujwalla ZM, Artemov D, van Zijl PCM. Natural D-glucose as a biodegradable MRI contrast agent for detecting cancer. Magnetic Resonance in Medicine. 2012;68(6):1764–73.

[4] Rivlin M, Horev J, Tsarfaty I, Navon G. Molecular imaging of tumors and metastases using chemical exchange saturation transfer (CEST) MRI. Scientific reports. 2013;3:3045

[5] Xu X, Chan KWY, Knutsson L, Artemov D, Xu J, Liu G, Kato Y, Lal B, Laterra J, McMahon MT, et al. Dynamic glucose enhanced (DGE) MRI for combined imaging of blood-brain barrier break down and increased blood volume in brain cancer. Magnetic Resonance in Medicine. 2015; doi:10.1002/mrm.25995

[6] Jin T, Autio J, Obata T, Kim S-G. Spin-locking versus chemical exchange saturation transfer MRI for investigating chemical exchange process between water and labile metabolite protons. Magnetic Resonance in Medicine. 2011;65(5):1448–60

[7] Zaiss M, Bachert P. Chemical exchange saturation transfer (CEST) and MR Z -spectroscopy in vivo: a review of theoretical approaches and methods. Physics in Medicine and Biology. 2013;58(22):R221–R269.

Figures

Figure 1: Experiments with a water phantom. a) R-decay curves obtained with both sequences for the two ROIs marked in b), b) relative B1-map, c) S0-map (adiabatic SL), d) S0-map (conv. SL), e) T-map (adiabatic SL), f) T-map (conv. SL).

Figure 2: a) R-map of the four PBS phantoms with different glucose concentrations, b) R as a function of the glucose concentration.

Figure 3: MRI of the brain of a gliosarcoma patient. a) T2-weighted image, b) R-map obtained with the conv. spin-lock sequence, c) R-map obtained with the adiabatic spin-lock sequence.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
0501