Multi-echo Parametric VARiation Saturation (MePaVARS) enabling more specific endogeneous CEST imaging
Xiaolei Song1,2, Yan Bai1,3, Meiyun Wang3, and Michael T. McMahon1,2

1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, People's Republic of

Synopsis

Existing CEST methodologies have difficulties in discriminating agents with small difference in chemical shift. As CEST signal is very sensitive to saturation power (B1) and length (tsat), indicating a second route to indentify agents by modulating the saturation conditions. We utilized the Multi-echo Parametric VARiation Saturation (MePaVARS), to separate faster and slower exchanging endogeneous CEST metabolites and molecules according to their differences response to B1. In simulations and phantoms, MePaVARS allowed extraction of faster-exchanging Glutamate from the slower-exchanging Creatine, based on its oscillation patterns. A preliminary study for mice bearing prostate tumor further validated the feasibility of MePaVARS in vivo.

Purpose:

CEST imaging provides the benefit of enabling detection of low concentration solute molecules through amplifying their signal onto water. However, discriminating between agents with small chemical shift differences using existing methodology which relies on saturation frequency profiles is still quite difficult. CEST contrast is very sensitive to saturation power (B1), length (tsat) and frequency offset (∆ω), which provides a potential second route to discriminate between agents based on modulating the saturation conditions. Herein we utilized this dependence to identify CEST agents according to their different response to B1 due to variances in exchange rate (Kex) and ∆ω, and termed this the Multi-echo Parametric VARiation Saturation (MePaVARS).

Methods:

MePOVARS Sequence: Similar to our MeLOVARS method1,2, the MePaVARS sequence (Fig.1a) places gradient-echo image readouts in between N saturation (sat.) pulses, which may have a different B1. As shown, the sat. pulses are the same length but alternate between a higher B1 (B1_high) and a lower one (B1_low). Simulations and phantom experiments: Conventional MTRasym spectra were acquired for Glutamate (Glu) and Creatine (Cr) solutions with pH = 7.4, with B0 = 11.7T, B1 = 3.6uT and Tsat = 3.5s. Their exchange rates (kex) were then fitted using a 2-pool Bloch-equation model. The MePaVARS data with 8 module readouts were then simulated. In vivo mice imaging: PC3 human prostate cancer cells were subcutaneously transplanted in nude mice at the lower flank near the right thigh. MRI was performed in an 11.7T Bruker horizontal scanner, with a 72-mm volume coil as the transmitter and a phase-array surface coil as the receiver. Mice were anesthetized by isoflurane with breath rate monitored during MRI. MePaVARS sequence acquired 6 modules, each including a saturation pulse of 0.5 sec. in length followed by a 4-shots EPI readout. Other parameters: B1low = 1.8 uT (Module 1, 3, 5) and B1high = 2.8 uT (Module 2, 4, 6); TR/TE = 3500ms/5ms, EPI module time = 7.2 ms, Flip Angle =25o, Matrix size = 96X64, FOV = 19.5mm X 16mm and slice thickness = 10mm.

Results:

We first performed Bloch-equation simulations and the phantom studies for two endogenous Metabolites, Glu and Cr. Their conventional CEST spectra (Fig.1b) shows a broader spectrum for Glu due to the faster exchange (kex was fitted as ~6000/s) while a sharper peak for Cr with a slower exchange (kex = ~360/s). MePaVARS sequence enable fast acquisition of 8 modules, each weighted with different sat. parameters (B1 and Tsat). Although in Fig.1b Glu and Cr shows very similar MTRasym values ~2.2ppm, MePaVARS produces an additional signal patterns given the 8-module MTRasym values at this frequency offset. The fast-exchanging Glu produced a more-oscillated pattern than the slow-exchanging Cr, as its saturation efficiency responds very different to B1high and B1low. Next, when tested MePaVARS in vivo on a mouse model of prostate tumor, we were able to acquire 6 modules of readout, with CEST MTRasym spectra of Module 2 & 4 shown in Fig.2a. As seen, module 2 spectrum displays significant difference from module 4 spectrum for tumor region, i.e. signal at ~ 3.5 ppm and ~2.5 ppm increases from module 2 to module 4 while ~1 ppm it descrease. In contrast, control muscle region did not display such an obvious change between the two MTRasym curves. We plotted the MTRasym (~2.4ppm) as a function of module number as in Fig.2b, where tumor region displaying a similar high-frequency oscillation pattern as Glu, indicating the fast-exchanging amine protons. This could also easily figured out from the two CEST maps, where averaging module 2&4 displays a much higher MTRasym in tumor than the averaged map of 3&5 although with longer saturation. We further did a voxel-by-voxel FFT for the signal series as module#, with the magnitude map of 3 oscillations highlighting only a portion of tumor (Fig.2c right).

Conclusion:

Using simulations and phantom studies of endogenous metabolites, e.g. Glu and Cr., we proved that MePaVARS allow separation of slower exchange species from the faster ones. A preliminary study for mice bearing prostate tumor further validate the feasibility of MePaVARS in vivo and also indicate that parts of tumor contains molecules with faster exchange

Acknowledgements

No acknowledgement found.

References

1. Song, X., Gilad, A. A., Joel, S., Liu, G., Bar-Shir, A., Liang, Y., Gorelik, M., Pekar, J. J., van Zijl, P. C. M., Bulte, J. W. M. and McMahon, M. T. (2012), CEST phase mapping using a length and offset varied saturation (LOVARS) scheme. Magn Reson Med, 68: 1074–1086. doi: 10.1002/mrm.23312

2. Song, X., Xu, J., Xia, S., Yadav, N. N., Lal, B., Laterra, J., Bulte, J. W.M., van Zijl, P. C.M. and McMahon, M. T. (2015), Multi-echo Length and Offset VARied Saturation (MeLOVARS) method for improved CEST imaging. Magn Reson Med, 73: 488–496. doi: 10.1002/mrm.25567

Figures

Fig.1 . a. Illustration of the novel CEST sequence, MePaVARS, using the alternating B1 for separating fast and slow exchanging species. b. CW spectra of Creatine (Cr) and Gutamate (Glu); c. the signal patterns of MePaVARS allows separation of Glu (more oscillated when applying different B1 ) and Cr

Fig.2 a. CEST spectra of MePaVARS Module 2&4, for tumor and muscle, respectively; b. the oscillation patterns of MTRasym at 2.4 ppm (Amine protons) as a function of module #. c. From Left to Right:T2w, averaged CEST map of module 3&5, averaged CEST map for module 2&4, and a magnitude map of high-frequency oscillations after FFT.



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