Matthew Wilcox1,2, Sai Abitha Srinivas1,2, Christopher E Vaughn1,2, Charlotte R. Sappo1,2, and William A. Grissom1,2,3,4
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Radiology, Vanderbilt University, Nashville, TN, United States, 4Electrical Engineering, Vanderbilt University, Nashville, TN, United States
Synopsis
Despite drawbacks including production of acoustic noise and peripheral nerve simulation, long switching times, bulkiness, and high costs, use of B0 gradient coils is ubiquitous in conventional MR imaging. Replacement of B0 encoding with B1+ encoding alleviates these concerns and allows the use of hardware which is lower-cost, more compact, and silent. As a first step towards realizing a full B1+ encoding coil system, this work demonstrates an RF z-gradient solenoid coil developed for brain imaging on a 47.5 mT system. The coil performance is evaluated in simulation, bench, and scanner experiments and slice-selection using B1+-selective pulses is demonstrated.
Introduction
In conventional MRI, acquired
signals are localized using B0 gradients which link spatial position to
signal frequency and/or phase. However, the coils used to produce these
gradient fields suffer numerous drawbacks including acoustic noise production,
peripheral nerve stimulation, long switching times, bulk, and cost. Replacement
of B0 encoding with B1+ encoding was suggested early in the history of
MRI[1] and alleviates these concerns but has historically encountered
difficulties in translating existing sequences to those using B1+ encoding while maintaining orthogonality
between spatial encoding and image contrast.
Recent developments on pre-clinical
systems[2-4], including advances in B1+-selective
excitation pulse design[4] have alleviated many these concerns. However,
many of these advances have yet to be translated to in vivo human
imaging, and RF coils producing the appropriate B1+ gradients must be developed to employ these
methods. As a first step towards demonstration of full encoding, this work presents a coil system
capable of performing in vivo slice-selection on a 47.5 mT system, a field
strength especially attractive considering recent interest in improving scanner
accessibility.Methods
A
32-turn, variable-pitch solenoid (diameter: 30 cm, length: 20 cm) shown in
Figure 1 was designed for use with a 47.5 mT permanent magnet system to produce
a B1+ amplitude z-gradient over the brain volume. A
quadratically-increasing pitch was chosen based on Biot-Savart modeling
indicating this design would produce a linearly decreasing field with suitable
strength and linearity across a 15 cm length (B1 +max = 105 μT/A, dB1+/dz = -0.042 G/cm/A, R2 = 0.99). The coil was wound around an acrylic former with 22 AWG
wire and three capacitive breaks, one of which included a trimmer for
fine-tuning the coil to the 2.07 MHz magnet frequency. A capacitive L-network
was used for matching. Though the presented data used the coil in
transmit/receive mode, the coil incorporates fast-switching crossed-diodes
within its windings for passive detuning so it can accommodate a separate,
detunable head solenoid for signal reception based on a modified spiral design[5,6].
For all
scanner experiments, the coil was fully enclosed in a copper shielding box for
EMI reduction. Power-calibration was performed using a pulse-and-acquire
sequence with a 6 cm distilled water phantom placed in the approximate coil
region of maximum B1+ field. A B1+ field map was then acquired with 1.2x2.4x10 mm3 resolution throughout twelve coronal slices of a head phantom placed in the
linear gradient region of the solenoid using the Bloch-Siegert B1+ technique[7] . A 6 ms Fermi pulse with KBS of 25.11 (ωRF = ±4 kHz) was
used for the encoding pulse. Using the field map obtained
through the center of the phantom and the Shinnar-Le Roux-based B1+-selective
excitation pulse design algorithm described previously by our group[4],
a nominal 30 mm thick axial slice offset from the phantom apex by 8 cm was
excited in the phantom and an image acquired with a GRE sequence (128x67 matrix
size, nominal flip angle = 45, 1.2x2.4 mm2 resolution, TE = 21
ms, TR = 430 ms). The same sequence was run with the B1+-selective
excitation pulse replaced by typical B0 gradient-based slice encoding (excitation BW =
950 Hz, Gss = 22 mT/m).
A diagram demonstrating the conversion between the two sequences is shown in
Figure 2. All datasets were analyzed in Matlab. To verify slice-positioning, low-resolution
3D sequences for both encoding methods were also run by adding phase encoding
partitions along the slice axis.Results
The coil could be easily matched/tuned with power calibration
indicating a 90° tip angle achieved using a 90 µs hard pulse with transmit
power of 15.6 W. B1+ maps in Figure 3 indicate an approximately
linearly decreasing transmit field throughout the head region ranging from 110-60 µT/A through a centerline in the phantom in the coil’s targeted 15 cm linear region.
Results from the B1+-selective
excitation experiment demonstrate slice selection using the coil with similar
results obtained using either B1+ or B0-based slice
selection as shown in Figures 4 and 5. Average SNR comparisons between the two
datasets indicate a difference in average SNR of 15%, and images are relatively
distortion-free. Discussion
Results demonstrate that B1+-based slice
selection using the proposed system is feasible in vivo. The coil system
performance matched predicted performance with similar results obtained through
modeling and field mapping. Conversion of conventional encoding methods to RF
encoding was straightforward and enabled slice encoding with comparable results
to conventional slice selection. Conclusion
This work represents a first step in fully RF-encoded in vivo
acquisition. To the authors’ knowledge, this is the first demonstration of a
system appropriate for in vivo human brain imaging using B1+-selective
excitation. Future work includes improving coil efficiency, in vivo
imaging using the receive coil insert, and fabrication of additional RF systems
to replace encoding in the remaining two spatial
dimensions. Acknowledgements
The authors acknowledge financial support from NIH NIBIB Grant R01 EB 030414-01.References
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