Synopsis
Keywords: Safety, Safety, Peripheral Nerve Stimulation, Gradient Array
Motivation: High-performance gradient coils are markedly restricted by peripheral nerve stimulation rather than hardware limitations.
Goal(s): We aimed to reduce the gradient-induced electric fields on the body and consequently increase peripheral nerve stimulation thresholds.
Approach: We introduce a head-only Z-gradient array coil and optimize current weightings of the array configuration to minimize induced electric fields while generating the target gradient within a customizable region with flexible linearity levels.
Results: Utilizing the array configuration reduces the maximum electric field up to 50%, 61%, and 78% compared to a conventional mode for a 22cm spherical region, the disk-shape region at the center, and off-center disks, respectively.
Impact: Peripheral nerve stimulation thresholds of head
gradient coils can be increased using array technology; thus, higher gradient strengths
and slew rates can be achieved without causing PNS.
Introduction
Rapid switching of strong magnetic fields
(B-fields) induces electric fields (E-fields) within the human body, which can
potentially trigger nerve stimulation. Several specialized head gradient coils1-3
have been developed to enhance gradient coils performance without
causing peripheral nerve stimulation (PNS). In recently
introduced Impulse gradient coil1, an additional third layer has been
incorporated into the coil design to reduce E-fields (increasing PNS thresholds). It has previously been
demonstrated that gradient arrays can similarly lower E-fields by
optimizing the driving currents4,5 and offer the flexibility to
customize design parameters even after coil fabrication. In this study, we
present a head-only Z-gradient array coil, featuring both 2-layer and 3-layer
structures and demonstrate their effectiveness in reducing E-fields.Methods
The structure of head-only Z-gradient array is shown
in Fig.1. The primary and secondary layers consist of 32 and 18 channels
(uniformly distributed circular loops along the z-axis), respectively. The
additional mid-layer, has 28 channels. The coil dimensions are chosen to be similar
to the Impulse gradient coil. In the current study, we use a simplified body
model (homogeneous) representing the 50th percentile male adult
population6.
In the context of array configurations, the
multiple number of channels are considered as basis functions with a predefined
pattern but unknown current amplitudes, represented by a vector $$$I={\left[{\begin{array}{*{20}{c}}{{i_1}}&{{i_2}}&{...}&{{i_m}}\end{array}}\right]^T}$$$, where m signifies the number of channels. An
optimization problem (Eq. 1) is formulated as determining current amplitudes
that minimize the |E|max on the surface of the body model while
satisfying a set of constraints. The constraints are placed on the gradient
linearity error at specific points across the target region of linearity (ROL),
the maximum tolerable magnetic field at the cryostat (a cylindrical shell in
the z-direction with 92 cm diameter), the maximum current that hardware can
deliver. Prior to optimization, a series of precomputations are conducted to
assess the influence of each channel on design metrics. This is achieved by
applying a 1 kHz sinusoidal current waveform (1 A amplitude) to a specific
channel while keeping the others at zero.
$$\begin{array}{l}\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\min\limits_I\,\,\,\,\,\max({\left|E\right|})\\\\s.t.\,\,\,\,{{{\left|{{{\bf{G}}}I-{g_{target}}}\right|}}}\le\alpha\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,(1)\\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\left|{{{\bf{B}}_{cryostat}}I}\right|\le{B_c}\\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\left|i_{k}\right|\le\,{i_{max}}\,\,\,\forall k=1,\,...\,,m\\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\end{array}$$
gtarget (200mT/m) denotes the vector of desired
gradients at the specified sample points, α represents the allowable
peak gradient linearity error within the target ROL, Bc (0.6mT)
is a threshold value that sets a limit on the magnetic field generated on the
cryostat.
We investigate three different designs: 2-layer
conventional mode, 2-layer array mode, and 3-layer array mode. We also explore
two scenarios: 1) spherical ROL with 22cm diameter. 2) disk-shaped (slice) ROL.
We consider circular disks in the z-direction (transverse slice, 2cm thickness)
at three positions: $$$z=0$$$,$$$z=-6cm$$$, and $$$z=+6cm$$$ (Fig.1C).Results
Fig.2 illustrates the magnetic fields, gradient field errors, and the magnitude of the E-fields on the surface of the
body model for three different designs when the target field is generated
within a 22-cm-diameter spherical ROL. The optimization procedure in the array
coil design minimizes the induced E-fields by manipulating the B-field profiles
(adding uniform magnetic fields) while preserving the target gradient. When
comparing the 2-layer and 3-layer array modes to the 2-layer conventional mode,
there are reductions in |E|max by 50.7% and 52.3%, respectively.
Fig.3 demonstrates the same comparison when
the target gradient field is generated within a circular disk in a transverse
plane at $$$z=0$$$. By adjusting the peak gradient linearity error to 19%
(linearity error of 2-layer conventional mode) the |E|max is reduced
by 61% and 62.5% for the 2-layer and 3-layer array modes, respectively. In this scenario,
the array configurations can also achieve lower linearity errors (for example,
5%) while minimizing the E-fields (49% and 51% reduction for 2-layer and
3-layer array mode, respectively).
Fig.4 depicts the same comparison for the
shifted disk ROLs (at $$$z=-6cm$$$ and $$$z=+6cm$$$). The array designs (2- and 3-layer)
display significant reduction of E-fields, especially for the disk at $$$z=+6cm$$$ up to 78%.Conclusion and Discussion
This study demonstrated effectiveness of a
head-only Z-gradient array in reducing induced E-fields on the body model. An
advantage of array design lies in its capacity to customize the ROL shape and level
of linearity. Here, we have demonstrated that when a target gradient is
required within a disk, the array design can attain perfect linearity (5% peak
linearity error), while concurrently inducing E-fields of a magnitude
comparable to those produced by a 22cm spherical ROL with peak linearity
error of 26%. Our findings indicate that when utilizing the array
configuration, the additional third layer does not result in a substantial
change in E-fields. Nevertheless, it offers increased flexibility for improving
other engineering metrics, such as coil efficiency, field linearity, and active
shielding.Acknowledgements
We acknowledge “Sim4Life", where we conducted electromagnetic simulations, for providing an Academic License. "www.zurichmeditech.com”References
1. Davids M,
Dietz P, Ruyters G, et al. Peripheral nerve stimulation informed design of a
high-performance asymmetric head gradient coil. Magn Reson Med. 2023;90:784-801.
2. Foo TK,
Laskaris E, Vermilyea M, et al. Lightweight, compact, and high‐performance 3 T
MR system for imaging the brain and extremities. Magn Reson Med.
2018;80:2232-2245.
3. Foo TK, Tan
ET, Vermilyea ME, et al. Highly efficient head‐only magnetic field insert
gradient coil for achieving simultaneous high gradient amplitude and slew rate
at 3.0 T (MAGNUS) for brain microstructure imaging. Magn Reson Med.
2020;83:2356-2369.
4. Babaloo R,
Takrimi M, Atalar E, editors. Increasing Peripheral Nerve Stimulation
Thresholds Using Gradient Array Coils. In Proceedings of Joint Annual Meeting
of ISMRM-ESMRMB; London, UK, 2022. Abstract 580.
5. Babaloo R,
Takrimi M, Atalar E, editors. Minimum Electric Field Gradient Array Body Coil
with Adjustable Regions of Linearity. In Proceedings of the Annual Meeting of
ISMRM; Toronto, Canada, 2023. Abstract 599.
6.Roemer PB, Wade T, Alejski A, McKenzie CA, Rutt BK. Electric field calculation
and peripheral nerve stimulation prediction for head and body gradient coils.
Magn Reson Med. 2021;86:2301-2315.