Bruno Pinho-Meneses1, Jason Stockmann2,3, Edouard Chazel1, Paul-François Gapais1, Eric Giacomini1, Franck Mauconduit1, Alexandre Vignaud1, Michel Luong4, and Alexis Amadon1
1Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Université Paris-Saclay, CEA, Institut de Recherche sur les Lois Fondamentales de l'Univers, Gif-sur-Yvette, France
Synopsis
A Singular Value Decomposition based Multi-Coil
Array for B0 shimming of the human brain was designed from a
database of 100 δB0 fieldmaps.
An optimized 2-layer 36-channel MCA design was obtained and constructed. The
system was characterized and measured fieldmaps were used for comparison to
expected performance from ideal simulated fields. The static
whole-brain and dynamic slice-wise shimming was validated in-vivo and assessed
with GRE and EPI acquisitions at 7 Tesla.
Introduction
Susceptibility-induced
static-field inhomogeneity in the human brain becomes stronger with the main B0
field. As MRI scanners move to Ultra-High Fields (UHF) of 7T, 10.5T, 11.7T1
and higher, 2nd/3rd order Spherical Harmonic (SH) shim
systems commonly available in commercial scanner are insufficient to provide artifact-less
high-resolution acquisitions, especially in Echo Planar Imaging (EPI).
To push the boundaries of B0 shimming
at UHF, we have proposed a new method for Multi-Coil Array2-4 optimization based
on Singular Value Decomposition (SVD) of Stream Functions (SF)5-7. Optimized
channel geometry and placement over a cylindrical surface are obtained,
delivering higher performance than conventional matrix MCAs (M-MCAs) with reduced
channel count.
A 13-channel prototype was recently presented7
and expected system performance was assessed from measured fields, providing
satisfying match to estimations from ideal, simulated fields. In this work, we present
an improved optimized MCA prototype, denominated SCOTCH, consisting on 2 layers
and 36 channels. The prototype was characterized, shimming simulations using
measured fields were performed on two different fieldmap databases for cross
validation, and finally, in-vivo acquisition was performed for quantitative and
qualitative assessment.Materials and Methods
An
in-house 100-subject $$$\delta{}B_0$$$ brain fieldmap database7, scaled to 7T,
was employed for the SVD-based MCA design, optimized for global (whole-brain)
shimming. Cylinders of 140.5-mm and 149.0-mm radii, and 300-mm length, were
used as coil formers in the optimization, centered at the MRI isocenter. A 2-layer
36-channel design is obtained (Fig. 1a). Expected inhomogeneity mitigation of
the designed system was simulated on the in-house database and on an
open-access database8 for cross-validation. Coils are assumed to
have 20 turns.
For construction
of the prototype, 3D printed molds were used to wind each coil to 20 turns.
These are placed onto the corresponding fiberglass cylindrical surface (Fig.
1b) and coated with epoxy resin. An open-source multi-channel current driver9
is used for electric current control of individual channels.
System characterization was performed with
fieldmap measurement of each channel/coil at 1A in a large oil phantom. After
characterization, expected shimming performance was assessed by inputting the measured fields per unit current as
shimming basis for computational global shimming of both design and
cross-validation database.
Two M-MCAs of 24 and 48 twenty-turn circular
loop channels over cylindrical formers of identical dimensions to SCOTCH’s
first layer are also simulated for comparison (Fig. 1c).
Finally, an in-vivo acquisition with SCOTCH
shimming was performed in a 7T Siemens MAGNETOM using a simplified single-loop
Tx/Rx RF setup (Fig. 2), as the in-house 8Tx/32Rx RF coil to be used with SCOTCH
is still in fabrication. To accelerate Internal Review Board authorization for
the experiment, Restricted SAR10 (rS) sequences were employed. A
triple-echo 3D rS-GRE was used for field mapping and brain masking, required
for optimal channel current calculation; and a 2D rS-EPI was employed for
qualitative assessment of artifact mitigation. EPIs under global (static) and slice-wise
(dynamic) shimming were acquired, with optimal currents for the 36 channels
computed from a 2nd-order SH-shimmed baseline fieldmap (obtained
after brain masking and re-shimming). Due to the simplified RF setup, no
acceleration was possible in the EPI acquisitions, rendering it very sensitive
to B0 field inhomogeneity.
Current amplitude
is constrained to 3A per channel in all shimming simulations and in-vivo
experiment.Results and Discussion
Simulations with SCOTCH’s ideal and measured fields over both databases show good agreement between performances (Fig. 3). A small drop is seen for the prototype, with slightly higher average final inhomogeneity on both in-house and open-access databases (44.5 Hz to 45.9 Hz, and 38.3 Hz to 39.6 Hz, respectively, with 36 channels). This drop is not surprising, as realistic wire bundles deviate in geometry relatively to ideal single-loop models used in preliminary simulations. Compared to SH, SCOTCH’s performance is expected to be within that achieved by 5th and 6th order SH systems. Compared to M-MCAs, 24-channel SCOTCH shows vastly superior performance than a 24-channel M-MCA, while 36-channel SCOTCH is expected to provide slightly superior performance to that of 48-channel M-MCA.
Fieldmaps from in-vivo acquisition are shown in Fig. 4. Significant inhomogeneity reduction is obtained in the frontal lobe (3rd and 4th columns). Ameliorations in the temporal lobes and right above the ear canals, regions notoriously hard to shim, are also observed. Measured global inhomogeneity (25.3 Hz) is close to expectations (23.5 Hz), despite deviations on upper slices (4th and 5th columns), which might be caused by differences in SCOTCH positioning relatively to characterization setup.
Fieldmap results are corroborated by EPI acquisitions (Fig. 5), where geometric distortion is greatly reduced in the frontal lobe, with marked signal recovery as well. Although optimized for global shimming, SCOTCH can provide further improvement when in slice-wise shimming, with ameliorations on the first and last slices. Yet, some degradation is seen in the middle slice compared to global shimming, again, possibly caused by imperfect positioning of the shim system relative to characterization.Conclusion
SCOTCH simulations from ideal and measured
fields over different databases showed adequate agreement in performance, providing
confidence in the design, which outperforms more conventional matrix arrays. In-vivo
acquisitions confirmed the system efficiency in artifact mitigation.
Improvements are still expected after better characterization and more accurate
positioning of the system for future experiments with the 8Tx/32Rx RF coil.Acknowledgements
This work
received financial support from the Leducq Foundation (large equipment ERPT
program, NEUROVASC7T project)References
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