Stephen E. Ogier1, Shaihan Malik1, and Joseph Hajnal1,2
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
Synopsis
Parallel transmit using equal numbers of RF power amplifiers
and coil elements has emerged as a common way to improve the homogeneity of the
transmit field through RF shimming. When performing RF shimming, in many cases
the magnitude of the transmit field is limited by the maximum power limit of a
single RF amplifier. We propose networks that can be used to share power between
transmit channels, increasing the maximum transmit field. These networks are
shown to provide substantial flexibility in RF power allocation for certain conditions
on the relative phases of the channels.
Introduction
In MRI, it
is desirable to have a homogeneous transmit RF magnetic field (B1+).
RF shimming and other parallel transmit (pTx) techniques use multiple transmit elements
to improve B1+ homogeneity as well as to accelerate the application of
complex RF pulses1. Presently, the most common configuration for a
parallel transmit system has a set of identical RF power amplifiers (RFPAs),
one for each transmit element2, although a number of studies have explored
how to reduce the number of amplifiers required3,4.
Although pTx coils often have a high degree of symmetry, the
power required from the transmit channels is often uneven. Thus, although each
of the RFPAs is generally specified to produce the same maximum amount of
power, only a small number may operate near their rated power limit, limiting maximum
B1+.
A method to flexibly share power between transmit channels could ease this
constraint.
This work is an initial investigation into candidate
networks to connect N amplifiers to N coil elements to achieve efficient power
sharing. Compared to the standard direct connection configuration, a favorable
network would deliver equal or greater maximum total power to the coil array
when an arbitrary RF shim is demanded.Theory/Methods
Figure 1 shows four candidate networks that can be used to
interface two transmit coils to two RFPAs. A is the present default. B
uses a 90° hybrid coupler to share the power of two RFPAs between two transmit
coils. C adds a phase shifter to B to allow for an arbitrary optimal
phase relationship between the two coils. D is a trivial alternative to
complement A, in which a Wilkinson power combiner sums the outputs of
two RFPAs while leaving the second coil unexcited.
As with Butler matrices, hybrid couplers can be used in
cascade for systems with more channels. Figure 2 shows a candidate three-layer network
for eight transmit channels such that uniform, in-phase excitation produces eight
outputs separated by 45° to achieve a circularly polarized mode with a
cylindrical array.
Although the proposed networks promise flexible distribution
of power, they all have limitations. Specifically, certain relative phases of
the output channels have a lower output power limit than a conventional straight-through network. To
investigate this the proposed 2 and 8-channel networks were simulated in Matlab
to allow the calculation of the maximum power a coil could receive for a
specified network and shim. The relationship between the shim (C) and the
amplifier outputs (A) is defined by T.
$$C = TA$$
T for the two-channel network
is derived from the behavior of the 90° hybrid coupler which is cascaded for
larger networks5. To specify the amplifier drives to a
achieve a given coil shim, equation 1 is inverted.Results
Figure 3 shows results for network B displayed on a
polar plot with power from coli one as a radial distance and power from coil 2
as a color, both ranging from 0 to 2. Best performance occurs when the relative
phase is close to 0° or 180°.
For higher channel count networks, the equivalent of figure
3 would be a hypersphere, which is challenging to visualize. To explore system
performance across a wide range of conditions we calculate the ratio of the max
power delivered through the network to the max power achievable with direct
connection for 100,000 random shim settings using flat distributions of
amplitude (0 to 1) and phase deviation from quadrature (-θmax
to θmax).
Noting that in the two-channel case, performance depends strongly on the
relative phase, we vary θmax from 0 to 180, and calculate the fraction
of random shims for which the power sharing network delivers more power than the
straight-through configuration (Figures 3 and 4). Although the 8-channel
network can achieve a factor 8 gain, this is only accessible for a few
favorable shim settings. Figure 5 shows two explicit shim examples. In the top
case, the network in figure 2 can achieve a 4-fold power gain, whereas in the
bottom case the maximum available power is lower than can be achieved by direct
connections. In general, only modest gains can be achieved for a wide range of
shims, and the 2-channel network shows a more favorable performance in this
regime, suggesting that driving coils in pairs could be a more efficient
approach.Conclusion
Enabling sharing power between parallel RF transmit channels
could allow existing systems to produce a higher maximum power with the
amplifiers they already have. Where RF shims fall within a narrow range of
relative phases, power sharing can be highly effective. Adding a variable phase
shifter between the power sharing network and the coil elements would increase
flexibility.
The
two-channel network provides an advantage over a larger range of phases than the
larger network in figure 2 but is not capable of producing as large of a gain
in maximum power.
Using power coupling matrices has the potential to allow an
increase in the maximum power that a set of pTx RFPAs can deliver with a given maximum single-amplifier
power. By carefully selecting the coils to pair and phase-shifts to include, it
could be feasible to increase pTx system performance without increasing RFPA specifications.Acknowledgements
The authors gratefully acknowledge core funding from the
Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the National Institute for Health
Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS
Foundation Trust and King’s College London and/or the NIHR Clinical Research
Facility. The views expressed are those of the author(s) and not necessarily
those of the NHS, the NIHR or the Department of Health and Social Care.References
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