Yun Shang1, Sebastian Theilenberg1, Jalal Ghazouani1,2, and Christoph Juchem1,3
1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2Hamburg University of Technology, Hamburg, Germany, 3Department of Radiology, Columbia University, New York, NY, United States
Synopsis
The development of advanced Multi-Coil (MC) setups for the
generation of MRI encoding fields necessitates the manufacture of wire wound coil fixated
with epoxy resin. Common winding techniques, however, are not suitable for the
required geometries. As a remedy, we developed an automated coil winding
machine capable of winding coils with a large number of turns in irregular
curved shapes whilst impregnating them with epoxy resin.
Introduction
Magnetic fields needed for image encoding and B0
shimming in magnetic resonance imaging (MRI) are traditionally generated by
dedicated coils targeting low-order specific spherical harmonic shapes. It has
recently been shown that the multi-coil (MC) technique utilizing an array of
smaller individually driven coils can be a versatile tool to generate complex
target fields in a flexible fashion. This approach has been successfully used
both statically and dynamically for B0 shimming in rodents1,2 and humans3,4, and has been demonstrated to
be capable of generating image encoding fields in both miniaturized and
human-size setups5–7.
Traditional gradient coils are optimized for fast switching
and, therefore, consist of a minimum number of conductor turns driven with high
currents to minimize inductance. So far, most MC prototypes focused on B0
shimming with low current amplifiers (1 A max.) and were accordingly built as
simple hand-wound coils of a hundred turns or less mounted to an acrylic former.
For a novel head-only MR scanner we are currently building a more advanced MC
setup8 capable of generating linear
gradients with a strength of up to 10 kHz/cm across the human head that, while
still designed as a low current system (5 A max.), necessitates the incorporation
of water cooling and the use of more sophisticated engineering approaches (Figure 1).
In this setup, individual MC coil elements consist of two 100-turn elements
(i.e. 200 turns total) that are sandwiched together with an integrated piping
structure for water cooling. A wet-winding technique is used to immerse the
wires in ceramic-filled epoxy resin for increased thermal conductivity and to
avoid mechanical vibration under strong B0-induced Lorentz forces. Numerous
methods (e.g. fly winding or needle winding9) commonly used for flat
coils in motor industry, however, are not suitable for wet-winding of required
curved coil geometries (cf. Figure 2A)
. In addition, the manual construction of 62 coil elements for the 31
composite coils of the MC array at hand (Figure 1) would be both labor-intensive and
error-prone. Here we present a novel molding method for the construction of resin-impregnated
wire patterns with irregular curved shapes along with a microcontroller-driven motorized
machine for automated coil construction.Design
An aluminum mold was designed in SolidWorks (Dassault
Systèmes, Vélizy-Villacoublay, France) and machined by CNC milling to
act as a bobbin and define the shape of the coil to be produced (Figure 2B).
The mold is fixated on a rotary table (Figure 3A).
A swinging arm rotates up and down to guide the vertical position of the wire synchronized with the rotation of the mold, ensuring accurate winding and
preventing scratching of the wire on the edges. The effective
length of the arm has been designed adjustable to be able to adapt to different
mold sizes. Both the rotary table and the swinging arm are driven by stepper
motors that are controlled by a single microcontroller (Arduino Due) via
individual step drivers (G203V, Geckodrive Inc., Santa Ana, CA, USA). An epoxy
resin feed tank was added to the swinging arm to automatically dispense epoxy resin to the wire. A photograph of the system realization is shown in Figure 3B.
The microcontroller was programmed so that the mold is rotating
at a constant speed. The optimal angle of the arm as a function of table position
was measured (Figure
4)
and converted to text files specifying the necessary motor steps using a python
script and read by the microcontroller from an SD card at the start of the
winding process. The optimal angle of the arm depends on the number of turns
already wound onto the mold and the synchronization has to be updated
throughout the winding process of the coil to account for it.
To prevent loose wire loops and maximize the wire density in
the mold volume, a wire tensioner (TCL2, ACME Mechatrons Inc., TX, USA) was
used to ensure constant wire tension throughout the entire winding process. For
the project at hand AWG 20 (diameter 0.9 mm) insulated copper wire with a constant
tension of 40 N was used. An example curved coil element (length 115 mm,
height 73 mm, width 4 mm, radius 16 cm) with 100 turns of copper wire is shown
in Figure 5.Discussion & Outlook
A coil winding machine has been presented for automated wet-winding of curved copper coil elements for advanced MC applications. Tension
control ensures tight wire packing, however, wire crossing cannot be fully
avoided which yields a fill factor of 68% and the optimal fill factor of orthocyclic winding is not achieved (90.7%).
Synchronization of the swinging arm and the rotary table in this prototype is
based on manual measurements of arm and angle positions, respectively. Future
extensions include the calculation of optimum angles directly from the established
CAD model of the device, thereby simplifying the adaptation to specific coil geometries.
In addition, a feedback mechanism of the motor control will be included for
refined synchronization accuracy of the stepper motors throughout the winding
process. A comprehensive configuration of the employed microcontrollers driving
the two motors based on real-time position measurements is furthermore expected
to enable elevated winding speed and increased productivity.Acknowledgements
This research was supported by the National Institute of Biomedical Imaging
and Bioengineering of the National Institutes of Health under award number
U01EB025153.References
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