Sheng-Kai Wu1,2, Alessandro De Maio1,2, Hsin-Ju Lee1,2, Kullervo Hynynen1,2, Meaghan O'Reilly1,2, and Fa-Hsuan Lin1,2
1Sunnybrook Research Institute, Toronto, ON, Canada, 2University of Toronto, Toronto, ON, Canada
Synopsis
Keywords: Multimodal, Non-Array RF Coils, Antennas & Waveguides
Imaging-guided focused ultrasound using
MRI can modulate the permeability of blood-brain barrier with high spatial
accuracy. However, many MRI-guided FUS studies rely on either a body coil or
head coil poorly suited to the FUS system geometry. We developed a tailored
receiver coil to improve the sensitivity of 7T MRI for rats. The tailored
geometry allows for a 30% SNR increase in a study modulating the blood-brain
barrier permeability with microbubbles.
Introduction
Focused ultrasound with microbubbles has
shown the capability to modulate the blood-brain barrier permeability 1. The stimulation of the endothelial
wall by the microbubbles leads to changes in permeability including changes in the
tight junctions, which serve as the cellular barrier maintaining homeostasis in
the brain, and increases in active transport. FUS can be utilized in
conjunction with magnetic resonance imaging (MRI), which allows for precise
targeting of specific brain regions. The change in vascular permeability can be
observed using MR contrast methodology.
Enhanced
sensitivity for detecting MRI signals in high-field rodent experiments can be
achieved using a tailored receiver coil design. Specifically, improving the
filling factor 2 and creating an aperture
allowing water buffers and ultrasound beams to focus. The dedicated head coil 3,
2-loop 4 and 8-channel coil array
for human 5 and small animal imaging 6 have been developed at 3T.
7T MRI offers a higher signal-to-noise ratio than 3T. However, many MRI-guided
FUS studies have been using either a body or head coil 7–9, with the latter being
poorly suited to the FUS system geometry We developed a tailored receiver coil
to improve the sensitivity of 7T MRI for rats.Methods
Two single receiver coils tuned at 300
MHz were built. Specifically, the first receiver coil was a circular loop
(diameter = 6 cm), while the second was a curved circular loop with the same
diameter but with a curved geometry to fit the head of a rat (Figure 1). Two lumped capacitors
(American Technical Ceramics) were mounted at opposite ends of the loop to
stabilize the loading. A variable capacitor trimmer was added to allow for
manual tuning of the resonance frequency. Coil matching was done by two
variable capacitor trimmers connected between the tuning capacitor and the
signal as well ground ends of a coaxial cable.
Bench measurement of
the coil was done by a vector network analyzer (ZVL, Rhodes & Schwarz) by
measuring its S11 with and without a
syringe loaded with saline.
For the in vivo study, the animal was
anesthetized with 2% isoflurane. FUS-induced BBB
opening used a 20 μL/kg dose of ultrasound contrast
agent (Definity; Lantheus Medical Imaging, Massachusetts, USA) with 10 ms
bursts of 1.169 MHz frequency at a pressure of 0.5 MPa at a burst repetition
frequency of 1Hz for 2 min. The targets were placed in the thalamus. After
sonication, the animal was placed prone, and the coils were installed on top of
the skull for imaging acquisition. T1-weighted images (500 ms TR, 5 ms TE, 256 × 256
image matrix, 1.5 mm slice thickness) were used to confirm BBB opening. In
addition, the T2-weighted images (4000 ms TR, 70 ms TE, 256 × 256 image matrix,
1.5 mm slice thickness) were also collected.
In a second experiment at a FUS frequency of 580 kHz, two animals were treated with targets placed at the internal capsule and deep gray matter. These animals remained supine for both treatment. . T1-weighted RARE images (583 ms TR, 5 ms TE, 200 × 200 image matrix, 0.5
mm slice thickness) were used to confirm targeting post intravenous gadolinium
injection 0.1 ml/kg (Gadovist, Bayer Inc, Mississauga, Ontario, Canada).
Regions of interest (ROI) were manually drawn over the sonicated areas and
in-plane non-brain tissues (cerebrospinal fluid and ear canals). Between-coils
measures were analyzed via Student’s t-test.Results
Figure 1 illustrates
the coil geometry and arrangement with a rodent model. S11 plots show the
resonance frequency and the quality factors of two coils in loaded and unloaded
conditions.
Measured brain tissue
SNR's were 9.8±0.8 and 8.4±0.6 at the gray matter for the curved and circular
coil, respectively (p=0.010). White matter SNRs by the two coils were 10.1±1.1
and 8.0±0.7 (p<0.001). Non-significant between-coil differences were found
for both gray (p=0.352) and white matter (p=0.214), while significant for
non-brain tissues (p<0.001) (Figure 2).
Figure 3 shows three
consecutive coronal slice images using circular flat and curved coils, with the
imaging slice passing through the FUS targets around the center of the brain.
Images from the curved coil show a higher intensity and a higher SNR at FUS
targets. The SNR gain was around 30%.
Figure
4 shows two slices at
deeper brain areas in T2-weighted coronal slice images using both coils. SNR
profiles around the brain stem (indicated by the blue horizontal lines in
images) suggested about a 30% SNR increase by using the curved coil.Discussion
The curved loop geometry demonstrated
increased tissue-specific contrast on T1-weighted images, compared to a flat circular
coil, with no evident intensity changes moving away from the devices. Such
refinements can ultimately improve visualization as well as manual and
automatic segmentation.
Compared
to a flat circular coil, the curved loop geometry increased by around 30% the SNR
at the deep brain area (Figures 2 and 3).
Experiments using MRI for FUS guidance and
treatment assessment will benefit from the improved sensitivity. The developed coils were used for brain
imaging. Coil geometries were also suitable for other applications, such as
spine imaging, with the setup allowing FUS beams to pass through the opening at
the coil center.Acknowledgements
This work was supported by Natural Sciences and Engineering Research Council of Canada (NSERC; RGPIN-2020-05927), Canada Foundation for Innovation (38913 and 41351), Canadian Institutes of Health Research (PJT 178345), MITACS (IT25405 and Global link fellowship).References
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