Hamza Raki1,2, Kevin Tse Ve Koon1, Henri Souchay2, Fraser Robb3, Simon A. Lambert1, and Olivier Beuf1
1Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F‐69616, Lyon, France, 2General Electric Healthcare, Buc, France, 3General Electric Healthcare, Aurora, OH, United States
Synopsis
Endoluminal Magnetic
Resonance Imaging (MRI) is an alternative solution to conventional MRI, which
is still not sufficient to image the bowel and colon wall. However, it mainly
suffers from coil-sensitivity-map variations with coil-orientations within
respect to the main magnetic field (B0). The purpose of this work was to study
numerically different coil-geometries and their performances when positioned in
different orientations regarding B0. From the simulation results, a solution of
a reconfigurable endoluminal-coil using four MEMs switches is proposed.
Electro-Magnetic (EM) simulation demonstrated the feasibility to reduce the
coil-sensitivity variations by using a combination of Single-loop (SL) and
Double-Turn-Loop (DTL) configurations.
Introduction
Inflammatory bowel
diseases can evolve to colorectal cancer1. Although
the image quality of MRI based on array of external receiver-coils (as measured through signal-to-noise
ratio, SNR) has improved, it is still unable to depict thin and deep colon wall
layers. Previous works have demonstrated the value of the endoluminal imaging
based on miniature internal (endoluminal) receiver-coils 2-5.
Such coils provide a high local SNR in the vicinity of the region of interest6. However,
because an endoluminal-coil will have to be introduced into the body, within
natural orifices, and to navigate within the bowel, its orientation will change
with respect to B07.
This implies coil sensitivity-map variations and thus image quality degradation8.
Hence, it could be relevant to adapt the coil-geometry with its orientation
which is the goal of this work by designing coil-geometry that can be achieved
using Micro Electro-Mechanical Switches (MEMS) technology developed by GE
Healthcare company9.
Methods
We used EM software (FEKO), based on the method of the
moment, to simulate different endoluminal loop-geometries, mainly, based on 1mm
wide copper strips. The dimensions were chosen taking into consideration the
eventual insertion in the colon. The designs were: single-loop 2D-geometries
(rectangular and diagonal loops: 5x47mm2 and 7.07x47mm2,
respectively); and different series and parallel double turn-loop 3D geometries
(5x47mm2 each turn-loop) with opposite or similar current directions
which designed on two opposite faces with 5mm loop spacing. The z-axis was
aligned along the length of the coil and the B0 field direction. The imaging
plane was always perpendicular to the coil-plane which is where magnetic field
H1-maps were calculated. Using Matlab, extracted H1-components data were used
to deduct the magnetic induction B1-maps. Then, we evaluated the rotation
effect of each loop-coil about x-axis and/or y-axis with angles of 15°, 30°,
45°, 60° and 90° with respect to B0. This was realized by applying 3D-transformations,
based on rotation matrices. The analysis method was based on the quantification
of B1-uniformity and intensity on concentric circles of radius 5, 8 and 10mm
which is the targeted colon wall imaging area. For each distance, B1-intensity
values were sampled every 1°. Then, the mean B1-values as well as the standard
deviation of B1 were calculated at each reference distances and tilted
orientations (figure 1).
Results
Two complementary loop-configurations
emerged from the simulation set as offering improved performance and robustness
to orientation: Diagonal SL and DTL based on opposite current direction. Table
1 summarizes the EM simulation results of SL and DTL coils, respectively, at
reference orientation and the evaluation results of the coil-orientation effect
with different angle rotations about the x-axis and/or y-axis at different
distances from the coil. The mean of B1-values (B1-intensities) of both coils
was higher in the vicinity of the loop-conductors and drops-off rapidly with
distance from the coil-center. Also, they were higher for the SL than for the
DTL. Despite this penalization of the DTL, it overall provided averages superior
to 10µT. The standard deviations (SD) of B1-values of the DTL were still the lowest
(~30%) close to the coil (5mm). At 8 and 10mm, the SD-values of the SL were the
lowest around the reference orientation (<30°). Beyond this angle, the SD values of
the DTL were the lowest.
Discussion
At the reference
orientation and for orientations up to 30°, the SL coil could be used taking
advantage of its higher signal intensity and acceptable radial-uniformity. For
angles superior to 30°, the DTL bring some advantages be used since it still
provides sufficient B1-sensitivity while offering better radial-uniformity.
According
to these results, combining both SL and DTL leads to the design of an
endoluminal-coil able to work with multiple configurations according to the
coil-orientation. This can be achieved by using MEMS switches to change the
current pathway from SL to DTL and back (figure 2).
Conclusion
In this work, we focused on improving
robustness of endoluminal coil-sensitivity to coil-orientation with respect to
B0. EM simulations demonstrated that it is possible to reduce
the dependency of the sensitivity to coil orientation through a reconfigurable
coil based on MEMS switches. The geometry was mainly based on four controllable
and switched conductors that allow to design two different loop-configurations
(SL and DTL) that will be activated depending on the actual coil-orientation in
B0. Future work will focus on building a prototype and on its
characterization on both experimental bench and imaging set-up. Losses to asses
signal-to-noise ratio with the different geometries will also have to be
addressed. Reconfigurable coil-geometry that can be modified during the
navigation inside the colon appears an attractive solution for colon wall
analysis.
Acknowledgements
This work was funded by GE Healthcare and performed
within the framework of the LabEx PRIMES (ANR-11-LABX-0063).References
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