Clarissa Zimmerman Cooley1,2, Jason P Stockmann1,2, Patrick C. McDaniel3, Charlotte Sappo1, Christopher Ha1, Christopher E. Vaughn1, Matthew S. Rosen1,2, Thomas Witzel1,2, and Lawrence L. Wald1,2
1A.A. Martinos Center for Biomedical Imaging, Massachusettts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3EECS, Massachusetts Institute of Technology, Cambridge, MA, United States
Synopsis
The development of a low-cost
portable MRI scanner for brain imaging could facilitate imaging in new sites
with insufficient space, power, or funding for traditional scanners. To address
this need, we previously established a 3D encoding method using a rotating inhomogeneous
B0 field and RF phase gradients, but uncontrolled field patterns showed
encoding problems near the object center. Here we show this problem can be
fixed in an optimized 122 kg head-sized permanent magnet with a built-in
approximately linear encoding field in 2D images with improved resolution homogeneity
across the field of view.
Purpose
Development
of a portable low-cost MRI scanner for human brain imaging.Methods
A prototype portable brain MRI scanner using a rotating
Halbach permanent magnet was previously reported [1]. In this system, the
built-in Spatial Encoding Magnetic fields (SEMs) are used to do generalized
projection imaging in the Y-Z plane.
Transmit Array Spatial Encoding (TRASE) was demonstrated for encoding the data
along the magnet’s cylindrical axis of rotation, X [2,3]. Images produced by the prototype scanner contain
significant blurring in the center where a spatial minimum in the SEM (gradient
null) aligned with the axis of rotation. The addition of a significant 1st
order field component to the inherent field variation of a Halbach magnet
improves resolution uniformity. In response, an optimization method was
described to design a rotating Halbach magnet without this null using the Genetic
Algorithm to generate possible magnet designs to be populated with discrete N42
or N52 NdFeB cubes or plastic gap [4]. The objective of the optimization was to
generate magnet designs within the geometrical constraints for human imaging
that contain a significant 1st order (gradient) field component with
controlled over-all residual field variation. Figure 1a shows a CAD model of
the magnet housing with patient, receive helmet, and patient support.
To construct the magnet array, the full magnet former was
assembled with ABS rings that hold 1” square fiberglass tubes, which are
rotated to form the dipole mode of a Halbach array (Fig. 1b). Each tube is then
populated with magnet cubes using a pushing jig. Slots for additional shim
magnets were included but not populated. A copper shield was wrapped around the
magnet and connected to copper-lined covers at the magnet ends to reduce RF
interference and shield the RF transmit coil. The total weight of the
constructed magnet is 122 kg. A aluminum
cart with stepper-motor-controlled rollers was constructed (Fig. 1c) to allow
the scanner to be easily transported and couple to a similar patient table
design (not shown). A 3D SEM field map was acquired using a 3-axis gaussmeter
(MetroLabs) mounted to a 3-dimension robotic translation stage. Images were
obtained from a 10cm diameter, ~1cm thick 2D resolution phantom.Results
Table 1 outlines the properties of the optimized head size
magnet. The measured field maps in Figure 2 show a significant 1st
order field component in the Y
direction. Figure 3a shows 1D simulated images of point sources along the
radius of the 20cm VOI using the measured field map from the center slice SEM,
as well as the measured SEM of the previously used un-optimized Halbach magnet.
Figure 3b shows the width of the resulting point-spread functions. The measured
fields were in good agreement with the simulation.
Figure 4 shows resulting 2D images of 3D printed phantoms
positioned at isocenter. Figure 4a was acquired from 72 magnet rotations spaced
5 degrees apart (acquisition time 15 min.), and Figure 4b was acquired from 181
magnet rotations spaced 2 degrees apart (acquisition time 38 min.).Discussion
The consistency of the spatial resolution across the FOV is
greatly improved due to the dominant 1st order field component. The
improvement in resolution uniformity is most dramatically seen at the center of
the image, where previously the image was severely blurred [1] and we can now
crisply resolve 3mm circles (Fig. 4b). Remaining challenges of the complete
human scale brain scanner include: (1) design of efficient high-bandwidth RF
coils and RF pulses for uniform excitation in the VOI, (2) incorporation of
TRASE for encoding along the X
dimension. To optimize SNR and provide additional spatial encoding, we also
plan to design a 24-channel array of receive loops on a close-fitting helmet.
The array will have PIN-diode detuning and preamplifier decoupling, extending
these methods to the low field imaging regime.
Conclusion
We have shown
that the spatial “encoding hole” of rotating permanent magnets can be fixed in
a human-size low-cost and light-weight magnet suitable for brain MRI. This
scanner utilizes a previous described unconventional MRI architecture [1],
which eliminates the need for a homogeneous B0 magnet and gradient coils offering
significant ancillary hardware (GPAs and water cooling) reductions.
Acknowledgements
The authors thank Elfar Adalsteinsson, Cristen Lapierre,
Bastien Guerin, Laleh Golestani Rad.
Support
by NIH R01EB018976.References
(1)
Cooley CZ, Stockmann JP, Rosen MS, Wald LL, et al. Two-dimensional imaging in a lightweight
portable MRI scanner without gradient coils. Magn Reson Med. 2015 Feb;73(2):872-83.
(2)
Cooley CZ, Stockmann JP, Rosen MS, Wald LL, et al. 3D Imaging in a Portable MRI
Scanner using Rotating Spatial Encoding Magnetic Fields and Transmit array
spatial encoding (TRASE). In Proc. of the ISMRM, Toronto, Canada, 2015, page 0703.
(3)
Sharp JC, King SB. MRI using radiofrequency magnetic
field phase gradients. Magn Reson Med. 2010
Jan;63(1):151-61.
(4)
Cooley CZ, Haskell M, Wald LL, et al. Portable
Magnet Design Optimization for Brain Imaging without Gradient Coils. In Proc. of the
ISMRM, Singapore, 2016, page 3556.