In its application Chemical exchange saturation transfer (CEST) suffers from the drawback of long acquisition times. To approach this issue we demonstrate the feasibility of a 3D gradient echo based CEST sequence for 3T that provides whole brain (WB) coverage without additional measurement time. In addition, the suggested post processing helps to improve the determination of the CEST effects from the WB data. CEST contrasts derived from the presented method are of equal quality as those of commonly used methods.
All examinations were performed at a clinical human whole body MR system (3T Magnetom Prisma, SIEMENS Healthcare, Erlangen, Germany) using a 1Tx/64Rx-channel head/neck coil. Written informed consent was obtained from all volunteers before examination.
As shown previously, the maximum number of k-space lines in an optimized CEST measurement should not exceed ≈7008. This number was now aimed for when setting up a 3D gradient echo (GRE) sequence for single-shot whole brain (WB) coverage without selective excitation at each CEST frequency offset. To reduce the number of measured k-space lines, the resolution was adjusted to 2.3x2.3x2.3mm3 (5616 lines), GRAPPA acceleration of 3x2 in the two phase encoding directions was used; partial Fourier 6/8 (along both phase encoding directions) was set combined with omitting the k-space corners (reduction by 4/pi). This reduced the measured k-space lines to ≈575 (final readout protocol: TE: 1.3ms; TR: 3ms; 660Hz/px; FA: 5°; 96x78x72, base=96). A readout with slab excitation (SE) at same the resolution (GRAPPA phase: 2; TE=2ms; TR=4ms; 694Hz/pix; FA=6°; 96x78x14, base=96) with ≈430 k-space lines was set up for comparison9.
The same CEST saturation for spectrally selective amide- and NOE-CEST effects (80 Gaussian pulses tP=20ms; B1 = 0.6µT; DC = 50 %)2 was applied in both sequences. Z-spectra were acquired at 55 offsets between ±100 ppm with denser sampling in the center (additionally a fully relaxed M0). For the WB sequence fat saturation was included. Repeated WB measurements at two different B1 values allowed to correct for B1 effects as suggested in 10,11.
All data was coregistered (AFNI12) before evaluation. Temporal SNR (tSNR) was determined from repeated single offset measurements. The CEST spectra were denoised using a PCA approach13. After denoising a two-step fitting, as described in 9, was applied to obtain selective CEST effects. Final maps were smoothed and interpolated to two times the nominal resolution.
The tSNR maps (figure 1a-f) reveal that the WB sequence (mean ± std.: 64 ± 3) yields about 15 % less tSNR than the SE sequence (75 ± 13) but is more stable across different axial slices. Given the high acceleration factor of ≈8.7 this is still a remarkably high tSNR, and sufficient for CEST peak detection. No major correlation between tSNR and B0 and B1 deviation was detectable.
Figure 2 shows the main result: fitted amplitudes of NOE and APT CEST effects in the WB data show similar contrast as the established SE method. In the SE method, variations due to imperfect SE and motion can be observed, which are not visible in the WB method. Fit results of the WB data show only minor potential artefacts in the APT maps. The measurement time for 56 offsets at a single B1 was comparable for both sequences: 303s (SE) and 283s (WB).
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