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)