On the robustness and reproducibility of spatially selective excitation using parallel transmission at 7T – a multicenter study
Maximilian N. Voelker1, Daniel Brenner2, Martina Flöser3, Marcel Gratz4,5, Soeren Johst4, Stephan Orzada4, Tony Stöcker2, Harald H. Quick4,6, Mark E. Ladd3,4, and Oliver Kraff4

1University of Essen, Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3Medical Physics in Radiology, German Cancer Research Center (dkfz), Heidelberg, Germany, 4Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany, 5High Field and Hybrid MR Imaging, University Hospital Essen, University of Duisburg-Essen, Essen, Germany, 6High Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, Essen, Germany

Synopsis

Parallel transmission (pTx) allows the excitation of arbitrarily shaped patterns or reduced field-of-view imaging and is of particular interest in ultra-high field MRI where it is used to diminish artifacts caused by B1 inhomogenities. However, calculation of arbitrarily shaped pulses is not included in standard pTx system procedures, is time consuming, and can only be done with knowledge of additionally acquired transmit B1 fields. To optimize this workflow, it might be advantageous to share pre-calculated pulses between different systems and/or coils. Image patterns were generated and optimized to assess image quality and to evaluate reproducibility and robustness of shared pulses.

Purpose

In this study we compared image quality obtained with sets of pre-calculated spatially selective RF pulses used at three 7T sites equipped with 8-channel pTX systems and between 2 different RF coils to assess reproducibility and robustness of such RF pulses.

Material and Methods

All three systems were from the same vendor (Siemens Healthcare GmbH, Germany) and equipped with an 8-channel pTx system. However, basic imaging components like type of magnet and gradient coils differed between the systems, which might influence image quality and timing in pTx (e.g. gradient delay). For the measurement setup two different types of RF coils were used. Two sites (2, 3) were equipped with a commercially available 8ch transmit 32ch receive head coil (Nova Medical). An in-house-built 8ch transceive head coil was transported between the sites and used to compare data acquired at each site (1, 2, 3). The 8ch/32ch coils located at Sites 2 and 3 were used to check reproducibility on different RF coils and systems. All data were acquired with a vendor-provided spherical phantom (diameter: 165mm, T1/T2: 1150/750 ms) filled with polydimethylsiloxan oil. The imaging protocol consisted of sequences to check coil and system performance first. The receive (Rx) performance was evaluated with standard GRE sequences. The SNR of a central ROI was compared in the phantom and the noise correlation matrix was calculated. The transmit (Tx) sensitivity was measured with B1 maps obtained with a vendor-provided saturation-based turboFLASH sequence. Three different excitation patterns (Fig.1) implemented in a standard pTx FLASH sequence (TA = 6.4 s, nominal FA = 10°, TE = 15.8 ms, TR = 100 ms, single slice with thickness 5 mm) were employed. The patterns were used to check for positioning, adjust gradient delay, and finally to measure a special QA image pattern at every site consisting of triangles (FIG 1).

The different patterns were pre-calculated once for all sites using the B1 maps measured at Site 1 with the transceiver coil. Additionally, for the 8ch/32ch coil another set of pulses was calculated from B1 maps obtained at Site 2 and played out at both sites with this type of coil (2, 3). The 8ch/32ch pulses were also played out at Site 1 with the transceiver coil to check reproducibility with a different coil design. A vendor-provided Matlab script (The MathWorks, Inc) was used to calculate the RF pulses (2D spiral with variable geometry, pulse length: 19 - 20 ms, maximum voltage: 6-13V). Two measurements were performed: one by applying the manufacturer’s specified B0 shim (“Tune up”) and another one after 2nd order B0 shimming. The resultant images were compared regarding triangle position and rotation, as well as SNR, background suppression, and homogeneity with the help of a Matlab-based analysis tool1.

Results

The transceiver coil had similar Rx and Tx sensitivity at the different sites. The two different 8ch/32ch coils also showed high agreement, with 5% difference in SNR. The flip angle variation of the individual coil elements measured in a central ROI was less than 2% between the sites and coils (Fig.2). Target patterns played out at the different sites with the same coil showed strong correspondence (Fig.3). A good B0 shim was critical for the reproducibility of the patterns as shown in Fig. 4. QA patterns were successfully generated with the 8ch transceiver coil of different type after correction for the channel assignment to match those of the 8ch/32ch coil (Fig.5). All B0-shimmed triangles were analyzed and successfully detected by the QA software tool. QA pattern analysis revealed small differences between the coils and the sites. SNR of all triangles was 12% lower for a pulse calculated at Site 2 and played out at Site 3 with a different RF coil of the same type. The central region of the test pattern had the highest agreement. At the edges of the phantom small differences were observed. For individual triangles where B0 shim or B1 sensitivity was different, the SNR of the triangles dropped by 50% and homogeneity was approximately 20% lower.

Discussion and conclusion

Sharing arbitrary pulses between sites was possible for QA purposes. We showed that even different RF coil types at different sites can be used to produce a highly defined QA pattern with high image quality. As pulses are calculated considering contributions from B0 field differences, a high field homogeneity has to be provided at all sites to avoid blurring and signal drops. In subsequent studies, reproducibility for even more strongly varying RF hardware, for more realistic tissue-simulating phantoms, and for in vivo imaging should be evaluated.

Acknowledgements

The research leading to these results has received funding from:

German Research Foundation (DFG) / project German Ultrahigh Field Imaging / Grant n. LA 1325/5-1.

European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 291903 MRexcite.

References

1 Gratz et al., Proc. Intl. Soc. Mag. Reson. Med. 22, 2495 (2014)

Figures

Fig.1: pTX QA patterns. Target (A) was used to check for coil and phantom positioning. The checkerboard was used to adjust gradient delay. Checkerboard (B) shows an uncompensated gradient delay of 2µs compared to (C). Triangles were used to check image quality at optimal distance from each individual TX coil element.

Fig.2: SNR maps and B1 sensitivity of the two 8ch/32ch RF coils. SNR was 5% lower at Site 2. Flip angle profiles were plotted at 3 cm depth in the spherical oil phantom. Mean flip angle per channel was very similar (1%), but minimal deviations in angular profile positions were found.

Fig.3: QA pattern at different sites measured with the same transceive coil after the pulse was pre-calculated from B1 maps at Site 2. Edge contrast was lower in the top left triangles at Sites 1 and 3. A slight signal drop was found for the bottom left triangle at Site 3.

Fig.4: pTx pulse patterns calculated for the 8/32ch coil from B1 maps acquired at Site 2. Manufacturer-calibrated “Tune up” shim was not sufficient to reproduce the QA pattern at both sites (left column). Slight signal differences (e.g. top left) were found for B0-shimmed images (right column).

Fig.5: QA pulses from 8ch/32ch coil of Site 2 excited at Site 1 with 8ch transceive coil. Top row shows unmodified configuration of measurement setup. Bottom row shows reproduced QA patterns after phantom placement was optimized and channel assignment was changed to best correspond to the B1 maps at Site 2.



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