Synopsis
Improvements in resolution and speed in
recent MRI scanner generations were only possible with the development of high-performant
gradient systems. Present gradient technology allows gradient amplitudes of up
to 80mT/m and slew rates of up to 200T/m/s simultaneously for conventional whole-body
systems. Even higher amplitudes and slew rates are possible using dedicated coils
and special gradient systems.
In this talk we will describe gradient coil
design methods including boundary conditions like available space, stray field,
forces and vibration. We show limitations to the usage of the possible
technical performance due to physiological conditions and other constraints. Several
approaches are discussed how to overcome the different limitations.Introduction
The gradient system (fig. 1) of an MRI is
responsible for the spatial encoding of the received signals. The gradient
system consists of a gradient coil, including three orthogonal axes which generate
rapidly switched magnetic fields using high voltages and currents, and a
gradient amplifier which provides these high currents and voltages.
The maximum gradient strength in mT/m and
the rise time, normally specified as “slew-rate” in T/m/s, are the main
characteristics of a gradient system and determine its performance.
The improvements in resolution and speed in
recent MRI scanner generations were only possible with the development of high-performant
gradient systems. Present gradient technology allows gradient amplitudes of up
to 80mT/m and slew rates of up to 200T/m/s simultaneously for conventional whole-body
systems. Even higher amplitudes and slew rates are possible using dedicated coils
like head gradient coils or special research gradient systems. A major
advantage of head gradient coils is that the high amplitudes can mostly be
switched in short rise times without restrictions due to peripheral nerve
stimulation (PNS) (1,2). With special diffusion
gradient systems (3), the highest possible gradient amplitudes are applied in
the shortest possible time for the diffusion lobes, combined with an echo-planar
imaging (EPI) pulse sequence to encode diffusion at the shortest possible echo
time (TE).
Design considerations
An ideal gradient system would only produce
the rapidly switching gradient field in the desired FOV. The objectives are
maximum gradient strength and minimum rise time. Since the performance of the
amplifier is limited to a certain voltage, the inductance of the coil has to be
minimized. The required voltage V and current I in
a gradient coil of an inductance L and a
resistance R are described by:
$$V(t)=R\cdot I(t)-L\frac{dI(t)}{dt}$$
The realization of an ideal wire pattern for
a gradient coil requires not only knowledge of the amplifier but also of the
magnet, because the linearity of the gradient coil has to be adapted to the
available magnet homogeneity. Normally, a high linearity in the field of view
is desired.
The nonlinearity in a defined volume is defined
by: $$$\Delta B=\frac{max(|B_{z}-G_{ideal}|)}{max(G_{ideal})}$$$
However, for “real” gradients additional effects
have to be taken into account, like stray fields on conductive layers inside
the gradient coil (RF screen) and on surrounding surfaces. Outside the gradient
coil, the most dominant source of eddy currents are the conductive layers
inside the magnet, one of them is the so-called “cryo-shield” (or shields). The
induced eddy currents (due to the law of inductance $$$\frac{\partial }{\partial t}\int \overrightarrow{B}\cdot d\overrightarrow{A} =-\oint\overrightarrow{E}\cdot d\overrightarrow{s}$$$)
will spoil the image quality in the FOV,
and the gradient induced heat load inside the magnet will lead to Helium boil-off. Therefore, nearly all gradient coils are “shielded gradient coils” (4), i.e.
every gradient axis consists of a primary layer which produces the main field
and a secondary layer which is designed to prevent stray fields. There are
different approaches possible to achieve the optimal solution, like the stream
function method, the target field approach as well as other numerical methods.
An overview is described in a review by Turner (9,10). For a numerical approach,
so-called “mesh currents” are optimized for primary and secondary surface (see
fig. 2) under the following condition:
Minimize $$Q=({\bf B}_{s}-{\bf Z})^2+w_{b}\cdot \frac{1}{2}{\bf I}^{Tr}\cdot{\bf L}\cdot{\bf I}+w_a\cdot({\bf Mn}\cdot{\bf I})$$
The first part of the function is the
deviation of the desired field in the FOV; the second part reflects the field
energy, and the third describes the eddy current field in the FOV.
Other undesirable side effects like the rigid-body
forces as a result of the switched gradient fields in a non-ideal homogeneous
main magnet are given into the optimization as constraints. Other constraints are
geometric boundaries derived from the available radial space or current
densities derived from the performance of the amplifier (maximum current and
voltage). This numerical method allows the use of arbitrary surfaces for the
wire pattern, not necessary just cylindrical ones.
Limitations
There are limitations to the usage of the possible
technical performance because of physiological conditions, in particular peripheral
nerve stimulation (5). The interaction of the switched electro-magnetic fields
with the human physiology lead to induced electrical fields in the human body
causing nerve stimulation. These limits can be influenced by using special head
gradient coils or to some amount by adapting the linearity volume of the
gradient coil; a restricted linearity volume will allow higher gradient
performance. There are approaches to simulate the effect of the switching
gradient fields on the human body; but for the determination of the relevant
limits a “clinical trial” with a defined set of test sequences and a defined amount
of volunteers is the method required by the regulations (6).
With the introduction of fast MRI techniques, the acoustic noise also
became more relevant. Without any counter-measures, the noise level can cause
discomfort or harm to patients and personnel (7). The reason for the noise is vibration of the
gradient coil body which is produced by Lorentz forces on the wires in the
coil. When a current passing through a wire is exposed to a magnetic flux, a
force perpendicular to the current and the magnetic flux is generated.
Mathematically this is expressed by the vector product:
$$\overrightarrow{F}(t)\sim \overrightarrow{I}(t) \times \overrightarrow{B}_0$$
If the excitation of the Lorentz forces
matches the eigenmodes of the gradient coil, the noise level will increase
(fig. 3). These eigenmodes are determined by the geometric dimensions and the
material properties of the gradient coil, like weight and stiffness. There have
been ideas to minimize the vibration by de-tuning the excitation by means of
altering the wire pattern, to suppress the most relevant eigenmodes of the
gradient coil (8). But due to the desired performance of the coil and
restricted available space, the achievements are limited.
Limitations in radial space and the high
amount of energy which is deposited inside the coil volume due to the losses in
the wires require an efficient cooling system (see fig.4). There are different
approaches for such a cooling system, but for state-of-the-art gradient systems
with high performance, water cooling is necessary. Water can be provided either
in plastic piping, copper tubes or in hollow conductors, dependent on the
different requirements and vendors.
The thinner the gradient coil, the less efficient
the coil is due to the shielding. This means that there are limits for the
patient bore, unless the magnet inner bore is increased, leading to higher
costs. It is possible to combine gradient coil and body coil to overcome these radial
limitations. But for these alternative approaches, other drawbacks like an
increase of local SAR exist, and the benefits are restricted. The smaller the
distance between the primary and secondary layers becomes, the more sensitive
the coils get to manufacturing tolerances. A shift of 0.5mm in z-direction
between both layers leads to undesirable stray fields and to eddy currents of
higher orders. Whereas residual linear eddy currents can be compensated (eddy
current compensation, ECC), the higher-order eddy currents normally cannot be
compensated and can lead to fat saturation problems.
A restriction in length can lead to
alternative solutions for the gradient coil. The so-called 3D gradient coils (fig. 5)
combine the primary layer and the secondary layer with connectors at both ends and
can achieve a shorter design with comparable performance and linearity
specification.
Manufacturing
For the manufacturing process of a gradient
coil, it is important to use the available space to combine the three gradient
layers for the primary coil and the secondary coil with the necessary cooling
layers as effectively as possible. The distance between the field-generating
layer and the shielding layer should be maximized to increase the sensitivity
of the coil. The space in between can be used for different shim options like
second-order shim coils or, if necessary, for passive shimming (iron plates). In
addition, the high-voltage isolation between the different layers has to be
guaranteed. Therefore, the transversal gradient axes can be made of punched
copper plates, which are fixed on isolation plates or isolated copper wires,
which in turn are glued on to GRP plates. The plates are later rolled to obtain
the necessary shape. In the case of copper plates, the variable wire thickness
will reduce the DC resistance and the power consumption, but for higher
frequencies the eddy currents inside the copper have to be considered (11).
Slotting the copper areas is a possibility to reduce the eddy currents. A
conventional Z-gradient coil is wound with copper wire, but hollow conductors
for the z axis can combine the cooling requirement and the field generation. As
an alternative to additional support structures like GRP tubes, a special
vacuum-potting process can be applied to fulfill the different requirements of
the gradient system. This casting process should guarantee the mechanical
stiffness and provide a sufficient thermal conductivity. The high mechanical
stiffness is necessary to withstand the mechanical forces, especially in
ultra-high-field systems with magnetic fields of 7T or more. The high density
of conductive layers inside the coil and the high voltages, which are necessary
to reach the performance, are an additional challenge. If there are any
shrinkage cavities in the casting compound, partial discharge will spoil the
image quality and will damage the internal structure of the gradient coil. This
makes the partial-discharge measurement essential for every coil, to ensure
image quality with respect to artefacts like spikes.
A shift of more than 0.5mm between the
primary and the secondary coil can lead to undesirable image artifacts, like
eddy currents of higher orders. Therefore, it is necessary to check every
individual example not only for the most relevant electrical parameters like
resistance and inductance, but also to check the resulting magnetic field.
Conclusion
Until now, the improvements in gradient
performance have been essential for the development in fast MRI. For nearly all
technical restrictions, solutions are possible, like split gradient coils and stronger
amplifiers, and even higher parameters can be reached. But the limitations,
caused by peripheral nerve stimulation and in some cases going to the limits of
cardiac stimulation, seem to make it questionable to go in that direction.
Patient comfort, like a bigger patient bore
or reduced vibration and noise, or reduced energy consumption within the gradient
system, are additional targets, which have already got into the focus. Therefore,
the most important consideration prior to the electrical design is to prioritise
the different requirements for the gradient system.
Acknowledgements
No acknowledgement found.References
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