Juan D. Sánchez-Heredia1, Aws Ali1,2, Wenjun Wang1, Rie B. Olin1, Vitaliy Zhurbenko1, and Jan H. Ardenkjær-Larsen1
1Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark
Synopsis
We describe the design and performance of a 28-channel
RF receive array optimized for human head 13C imaging at 3T. The
array employs a fixed and symmetric cylindrical geometry to provide predictable
prior information of the coil sensitivity profiles, which can be used to
resolve practical challenges of hyperpolarized parallel imaging and to improve
performance. The results show good SNR and spatial encoding of the different
elements, with only small performance difference between the individual
elements.
Introduction
Hyperpolarized
13C metabolic imaging may be a decisive tool to better understand
the human brain, both in health and disease 1,2. Metabolic imaging using hyperpolarized
substances requires accurate quantification of conversion rates, in order to
extract the very detailed metabolic information that these experiments can
provide. Accelerated
acquisition by means of parallel imaging can assist in achieving this, which
means that accurate information about the sensitivity profiles of the RF receive
coil is needed. However, the low natural abundance of 13C
and its low gyromagnetic ratio makes it very challenging to accurately estimate
the sensitivity profiles from in-vivo measurements.
In
this context, having a rigid coil geometry can be helpful, since sensitivity
profiles can be estimated a-priori with high accuracy. Additionally, at low
frequency, due to the higher proportion of electronic noise (compared to sample
noise), high-performance rigid coil geometries can be advantageous, despite of
their inferior anatomical fitting. Initial results of such design approach,
together with parallel imaging have already been successfully implemented for
pig kidney 13C MRS 3.
In
this work we propose a coil array following this design approach for human head
imaging, and evaluate its coverage across the full FOV. Comparison to a
commercial array is also provided as reference. Materials and Methods
Coil Design
The design of the array individual elements is based on previous work using non-segmented coils, where the entire
circuitry (including tuning-matching-detuning) is integrated on a single board 4. The coils are made of flattened copper
wire (6 mm x 0.7 mm cross section) with an outer diameter of 82 mm. 1H
traps were added using part of the coil to improve compatibility with external 1H
coils (needed for anatomical mapping to support 13C metabolic
imaging). The measured unloaded-to-loaded Q-ratio for the individual elements
is QU/QL=420/60 for human loading. In order to reduce
mutual coupling between next-neighbouring elements, highly mismatched
preamplifiers are used following the design approach described in 5, in order to reach decoupling levels beyond
30 dB.
The array is formed by two coil rows 14
channels each, placed on a cylindrical coil holder with inner bore diameter of
252 mm and 2 mm of thickness. The edge-to-edge separation between coil rows is
25 mm. This arrangement allows a coverage across the z-axis of approximately
190 mm, which is sufficient for whole head imaging. The limited number of 13C
channels available at the used MR scanner (32 channels) contributed to the design
choice of separating the coil rows (and not overlapping them) in order to
extend the coil array FOV over the z-axis.
MR Experiments
13C MRS measurements (CSI, 360x360x20
mm3, matrix size = 24 x 24) were performed on a cylindrical ethylene
glycol phantom (250 mm diameter, 200 mm long) doped with 17g/L of NaCl, in
order to emulate tissue loading. Three different axial measurements were
acquired at different slice locations on the z-axis. The first location (Z = 54
[mm]) corresponds to a slice centered at the front row of coils, the second location
(Z = 0 [mm]) corresponds to the array geometrical center, and the third location
(Z = -54 [mm]) corresponds to a slice centered at the back row of coils. An
additional measurement using a commercial 8-channel array was performed as
reference to a state-of-the-art coil array.Results and Discussion
The acquired SNR maps are presented in Figure 2. They
are based on three different measurements done with the fabricated 28-channel
array, and the reference measurement with the commercial array. Figure 3 shows the
SNR profiles across two orthogonal axes of the acquired slices. The results
show good SNR symmetry across the whole slice. Also the difference between the
front and back slices is minimal, showing that both rows of coils perform very
similarly. As expected, the superficial SNR at the central slice is lower, but
this difference decreases with the phantom depth, ultimately reaching the same
SNR at the central part of the phantom. This result shows that the SNR across
the z-axis for deep parts of the phantom is very similar, and that the array
can effectively cover the whole FOV. The comparison to the commercial array
shows an overall higher SNR of the fabricated array, both at the surface and at
depth.
Figure 4 shows the individual SNR maps of each coil
elements for the two slices centered at the coil rows. The measured SNR is very
similar for all array elements, both within the same row and between the different
rows. Finally, Figure 5 shows the noise correlation matrix of the array, where
some relatively high values are obtained, especially between some neighboring
coils. These values, however, do not compromise the overall performance of the
array.Conclusion
A dedicated 28-channel coil array for 13C
has been designed and fabricated. Measurements showing its performance over an
FOV sufficient to cover a whole human head are shown. The design approach uses
a fixed geometry, with large coverage along the z-axis by means of two rows of
coils, which facilitates acceleration along that axis. The overall SNR
performance is satisfactory compared to a commercial array, with the added
benefit of the highly predictable sensitivity profiles due to the fixed
geometry.Acknowledgements
No acknowledgement found.References
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