Isabelle Saniour1, Fraser Robb2, Victor Taracila2, Henning U. Voss1, Michael G. Kaplitt3, J. Levi Chazen1, and Simone Angela Winkler1
1Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 2MR Engineering, GE Healthcare, Aurora, OH, United States, 3Department of Neurological Surgery, Weill Cornell Medicine, New york, NY, United States
Synopsis
Transcranial
magnetic resonance guided focused ultrasound (MRgFUS) has shown dramatic success
in the treatment of various neurodegenerative diseases.
However, black band
artifacts arise in MR images due to the high-permittivity water bath and the
metallically lined helmet-shaped transducer together with the vendor-installed
body coil. In this work, we present electromagnetic simulations
of a very thin, flexible, and acoustic transparent head coil design (FUS-Flex). Simulations show a signal-to-noise-ratio
(SNR) increase of 3.5× and 5× compared to a body coil with
and without the transducer, respectively, and an attenuation of the black band artifact in the
regions of interest.
Introduction
Transcranial magnetic
resonance guided focused ultrasound (MRgFUS) has shown dramatic success in the
treatment of a growing range of neurodegenerative diseases, such as essential
and parkinsonian tremors and early-stage brain tumors1-4. However, very poor
image quality and thus poor focal precision is observed because the presence of
the transducer helmet inhibits the use of a conventional head coil and
necessitates the vendor-installed body coil. Black band artifacts arise in the MR
images due to the presence of a high-permittivity water bath in between the
coil and the head that causes significant shortening of the wavelength of the
radiofrequency (RF) signal and therefore strong RF field (B1)
inhomogeneities resulting in image shading5. Further, the transducer exhibits an
internal metal surface acting as a reflective surface, causing B1 field
cancellations and the typical dark band observed in MRgFUS-related brain images6. This work proposes a high sensitivity,
ultra-flexible7, and ultra-thin 8-channel head (FUS-Flex) coil
located directly on the surface of the head for maximized signal-to-noise-ratio
(SNR) and avoidance of B1 inhomogeneity/cancellation effects.Methods
The FUS-Flex coil consists
of an 8-channel array using receive architecture inspired by the highly
flexible and very thin (around 1mm-diameter) AIR™ Coil technology8-11 and is designed to be placed conformally and
close-fittingly around the circumference of the patient’s head.
Electromagnetic simulations were performed using Sim4Life12 to maximize the
SNR of the 8-channel receive array using an element diameter of 110 mm (Figure
1).
The FUS-Flex coil was placed around a 180 mm-diameter spherical phantom
(σ = 0.55
S/m and εr = 78) and compared to a conventional same diameter circular copper coil to confirm proper functionality.
Conventional performance
(non-MRgFUS) : For a realistic in silico scenario, a
body model, Duke13 was used. First, to quantify
non-MRgFUS performance increases, the FUS-Flex coil was compared to a 16-leg
conventional birdcage head coil (diameter: 300 mm; length: 200 mm) without the transducer (Figure 2). Additionally, the FUS-Flex coil was compared to a 16-leg body coil (diameter: 620 mm; length: 570 mm) (Figure 3).
MRgFUS performance : Then,
the transducer, modeled using a semispherical water-filled copper-coated
geometry, was placed over Duke’s head to simulate the influence of the
transducer on the B1 field distribution (Figure
3). Simulations were performed comparing
the proposed FUS-Flex coil to the 16-leg body coil in order to quantify imaging performance increases with the transducer. Results
The
B1+ sensitivity maps of the FUS-Flex and standard coils
in the spherical phantom (Figure 1) are very similar and confirm functional
operation of the very thin FUS-Flex coil.
Figure 3c shows the simulated B1
maps for the FUS-Flex and body coil with and without the presence of the
transducer, denoting an SNR improvement of 3.5× and 5× with and without the
transducer, respectively. As expected from literature 6, RF signal reflection from the
copper-coated transducer cancels the field and causes a typical dark band in
MRgFUS images in the body coil along with a significant reduction in B1
magnitude. The location of the FUS-Flex coil is chosen to provide 2.6-fold
increased SNR in the direct region of the dark band, and results show that, in
fact, the band successfully recedes to a region outside the brain with a very
small portion at the very upper limit of the head, which is above the thalamus
ROI (XZ-plane in Figure 3c), while B1 levels are
maintained compared to those without the transducer setup. This suggests
feasibility to produce a significant increase of image quality over the body
coil.
The FUS-Flex coil
exhibits B1+ and thus SNR increases by a factor of 1.4 without the presence of the transducer are compared to a standard
birdcage head coil (Figure
2). It should be noted that for these
simulations, the FUS-Flex coil array was considered to be of circular shape
(diameter of 215 mm) which is not the case in a real exam because the coil
is very flexible and perfectly conforms to the shape of the head with maximized
SNR.
First in vivo results are
reported in reference.14Discussion and conclusions
Simulations showed
universal SNR improvement compared to a head coil (1.4×) and a body coil (3.5×
with transducer, 5× without transducer) at the position of the thalamus and
(4.5× with transducer, 8× without transducer) at the center of the coil. In
addition, the simulated B1 field showed a 2.6-fold increase of the signal
in the black band. These first simulated results along with the in vivo results
in ref 14 suggest that the
FUS-Flex coil could replace the body coil and even the standard head coil in
non-MRgFUS settings. For the MRgFUS surgery this could mean improved focal
precision, as well as the availability of real-time intraprocedural anatomical
imaging and 3D thermometry mapping. Acknowledgements
This work was supported by the National Institutes of Health (NIH K99/R00 4R00EB024341-03) and GE Healthcare.References
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