Christopher E Vaughn1,2, N Reid Bolding3, Mark A Griswold4, and William A Grissom1,2
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2VUIIS, Vanderbilt University, Nashville, TN, United States, 3Physics, Case Western Reserve University, Cleveland, OH, United States, 4Radiology, Case Western Reserve University, Cleveland, OH, United States
Synopsis
B0
gradients have several problems including cost, bulkiness, noise, and PNS. We
propose to use a method called Selective Encoding through Nutation and
Fingerprinting (SENF) which is a RF spatial encoding technique that also
encodes quantitative information. In this abstract we validate SENF on a 47.5
mT low-field scanner using a high-flip MR Fingerprinting type sequence with a
gradient RF coil to perform a 4-voxel 1D reconstruction that can differentiate
between three materials (mineral oil, water, and air).
Introduction
Conventional
MRI uses B0 gradients for spatial encoding, which are expensive,
bulky, noisy, prone to breakage, and induce PNS. Several spatial encoding
methods have been proposed that use RF gradient coils1-4 instead of B0 gradients, but none enable
quantitative imaging of T1 and T2 relaxation times.
Selective Encoding through Nutation and Fingerprinting (SENF)5, can
accomplish RF spatial encoding and quantitative imaging simultaneously using MR
Fingerprinting6-like sequences that encode space as additional
dimensions. Here SENF is validated on a 47.5 mT low-field scanner in a 1D
experiment using a fingerprinting sequence with high-flip angles and TR
modulation along with a transmit coil with inhomogeneous B1+
to simultaneously perform spatial encoding and quantitative imaging.Methods
A
solenoid transmit coil was analytically designed to produce a linear B1+
field of 1 - 3 gauss over an FOV of 16
cm length and 6 cm diameter when driven with 1.4 A of current. The coil had a
12 cm diameter with variable gaps between winding positions and a variable
number of windings per position along its 20 cm length (Figure 1). A saddle
coil (diameter 3.5 cm, length 12 cm) sat inside the linear solenoid for receive
and was geometrically decoupled from the solenoid by 30 dB. Further decoupling
(~40 dB) was achieved using a reed relay T/R switch as a receive gate. Both
coils were tuned and matched to 2.075 MHz. A coil holder kept the saddle coil
in place and allowed the phantom holder to slide into the center of the FOV of
the solenoid. The two coil system was then placed inside a shielded box within
the 47.5 mT low-field scanner, to reduce EMI (Figure 2).
The
pulse sequence had 455 TRs and a total acquisition time of 11.6 seconds. Each
TR had a 1500 us hard pulse excitation, a 4 ms (32 point, 8000 Hz BW)
acquisition, and a delay that extended the TR. The phase of the hard pulse
excitation alternated between 0° and 90° phase each TR. The flip angle and TR
length were modulated each TR according to the schedule in Figure 3A. Each
excitation peaked at a 18.8 radians flip angle at position 1, allowing for
several Myz/Mxz phase cycles across
the 4 compartments. The TR was incremented by 8 ms to a maximum of 40 ms. The
first half of the sequence had 0 excitation sections following each excitation
lobe that increased by ~0.125 seconds to a maximum of 1 second to allow for
variable longitudinal recovery.
In
the experiment 2.5 cm diameter ball phantoms were filled with mineral oil (T1=110
ms, T2=100 ms) or water (T1=2000 ms, T2=1800
ms) and placed into the latter 4 positions of the phantom holder. A signal
dictionary is measured by running the sequence with mineral oil and water at
each of the 4 locations for a total of 8 data sets with 16 averages.
Repetitions that deviated by more than 25% of the mean signal were rejected.
The remaining acquisitions for each data set were averaged to form each single
dictionary entry, resulting in a total of
8 dictionary entries (4 positions x (mineral oil or water)).
Data
was then taken for mineral oil phantoms in positions 1 and 3, for water
phantoms in positions 1 and 3, and for alternating mineral oil and water
phantoms in the 4 positions (Figure 5). For these single data sets any
repetition with a deviation greater than 6% from the mean of all acquisitions
was discarded, and the remaining were averaged. A regularized least squares fit
was performed between each of the data sets and the experimental dictionary.
The material at each position (mineral oil, water, or air) was identified at
each position by taking the maximum coefficient between mineral oil and water,
but the position was set to air if the maximum coefficient was less than 0.35. Results
Figure 1 shows the Biot-savart simulations.
The linearity of the solenoid was high (R2 = 0.99757) along the
center of the 16 cm FOV, which agrees with the experimentally measured field (R2
= 0.99563) (Figure 1). Figure 5
shows that the three data sets with different phantom configurations were
accurately reconstructed. The average
coefficient was 0.8895 for mineral oil, 0.6985 for water, and 0.1971 for air.Discussion
The presented experimental results validate
SENF for 1D reconstructions on a 47.5 mT low-field scanner. We have shown for the first
time that encoding of an NMR signal can be done without using B0 gradients
using SENF with high quality results. Future work will
improve the encoding power of the sequence for finer resolution across tissue
types and space. B1+-Selective excitation pulses7-8
will be implemented using customized RF power amplifiers9 to produce
more incoherent signal evolutions across space and tissue types. The linear B1+
field of this optimized coil will allow uniform-width excitation
passbands in these pulses, for uniform spatial resolution. Finally, we will
implement a parallel transmit system using low cost on-board amplifiers9,10
to validate SENF in 2D.Acknowledgements
Funding source R01 EB030414.References
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