Sebastian Littin1
1Medical Physics Department of Radiology, University of Freiburg, Faculty of Medicine, Department of Radiology, Medical Physics, Freiburg, Germany
Synopsis
Keywords: Physics & Engineering: Hardware
The spatial encoding system, usually termed gradients, is crucial for
magnetic resonance imaging
(MRI). Gradient
coils for MRI are usually designed using target field methods. The
stream function method allows for approximating surface current
densities by discrete wires. One of the main limiting factors of
gradient coils in MRI is given by physiological constraints, namely
peripheral nerve stimulation (PNS). As PNS properties of smaller
coils are beneficial, head insert coils are experiencing a revival.
Further localized, application-specific coils might be used to
overcome today’s limitations. Different approaches have been used
to implement complex wire geometries into realizable coil designs.
Overview
MR Imaging became possible by the introduction of switchable gradient
fields that allowed imposing a spatially-dependent variation of the
precession frequency on spins within the object under investigation.
Gradient coils in MRI are usually designed to generate three
orthogonal spatially-varying fields along the spatial dimensions x,y
and z. Conventionally, the spatial variations in the z-component of
these magnetic fields are designed to have a constant spatial
derivative along the corresponding dimension. Linearly varying
spatial encoding magnetic fields (spatial encoding magnetic fields
(SEMs)) a.k.a. gradients result in a linear relation between k-space
and image domain, allowing for image reconstruction via the
computationally inexpensive fast Fourier transform (FFT).
Whole-body gradient
coils in clinical MR systems are usually able to generate gradient
strengths in
the range of
30-80mT/m with rise times of 75-200T/m/s. This strength and switching
speed is achieved with dedicated power amplifiers which can deliver
up to 1200A of current and multiple kV of voltage.
Fast switching of
gradient coils may induce eddy currents within the cryostat. Due to
cryogenic temperatures and associated low resistances these currents
may decay over multiple seconds and generate fields which are
detrimental to imaging. For avoiding eddy currents, gradient coils
are magnetically screened with an additional outer shielding layer.
Oftentimes, gradient
strengths and switching speeds that may technically be achieved are
higher,
than ones used for
in vivo imaging. Whole-body imaging performance is often limited by
physiological constraints set by the stimulation of peripheral
nerves. This peripheral nerve stimulation (PNS) may be caused by
voltages induced along the nerve fibers, strong enough to trigger
discharges through ion channels. PNS manifests itself in muscle
contractions or unpleasant sensations. Such unwanted stimulation
which initially may appear as slight twitching, can reach
unacceptable painful muscle contractions upon the increase of the
gradient amplitude or switching rate. Due to the interaction between
a time-dependent spatial variation of the induced voltages and
individual subject anatomies, an accurate PNS prediction is complex
and subject of active research.
In this talk the
following topics are covered:
- Basic requirements
of MRI gradient coils
- Approaches to
finding suitable wire patterns (target field method, concept of
stream function method)
- Open source tools
for coil design
- Additional
obejectives during the optimization
- Coil
implementation
- Novel gradient
coil approaches
Acknowledgements
The author would like to acknowledge his colleagues Feng Jia, Philipp Amrein and Maxim Zaitsev for providing Materials for the presentation.
The following funding sources are gratefully acknowledged:
- German research council (DFG) project 468440804 "High-Power Diffusion Probe for Human Breast MRI – Phase 2"
- EU Horizon project 101078393 " MRITwins"
References
Further reading, more to follow in presentation slides:
Basic introduction to gradient coil design methods:
[1] Hidalgo-Tobon, S.S. (2010), Theory of gradient coil design methods for
magnetic resonance imaging. Concepts Magn. Reson., 36A: 223-242. https://doi.org/10.1002/cmr.a.20163
Open source coil design
[2] Littin S, Jia F, Amrein P and Zaitsev M (2021) Methods: Of Stream
Functions and Thin Wires: An Intuitive Approach to Gradient Coil Design.
Front. Phys. 9:699468. https://doi.org/10.3389/fphy.2021.699468
[3] Amrein, P, Jia, F, Zaitsev, M, Littin, S. CoilGen: Open-source MR coil layout generator. Magn Reson Med. 2022; 88( 3): 1465- 1479. https://doi.org/10.1002/mrm.29294
Overview of recent developments of gradient coils:
[4] Gudino, N. and Littin, S. (2023), Advancements in Gradient System
Performance for Clinical and Research MRI. J Magn Reson Imaging, 57:
57-70. https://doi.org/10.1002/jmri.28421