Benson Yang1,2, Chih-hung Chen2, and Simon J Graham1,3
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada
Synopsis
Parallel radiofrequency transmission (pTx) is a highly researched topic. As a result, researchers have implemented different in-house system designs to investigate its clinical benefits. The
performance specifications of these custom systems are often unknown. Signal-to-noise
(SNR) ratio analysis is an important consideration for optimal imaging.
This work uses a simple multi-purpose method to conduct SNR analysis and noise
characterization of a 4-channel pTx system integrated on an existing 3 T MRI
system.
Introduction
Parallel
radiofrequency transmission (pTx) system implementations have grown steadily in
the last decade1,2,3. At present, some commercial systems are
available for research; however, in-house designs remain a relevant alternative
not only from a cost perspective, but also because optimal channel counts and
optimal pTx methods for different clinical applications are still under
investigation. Often, in-house pTx systems are assembled with commercial and
in-house designed components that can require additional measurements to
determine certain system characteristics. Although most measurements can be
performed “on the bench,” it is advantageous to conduct measurements during
imaging for better accuracy and improved insight about true system behaviour,
as some MRI applications (e.g. reduced field-of-view imaging) are more
sensitive to pTx system uncertainties. In particular, signal-to-noise ratio
(SNR) analysis of pTx systems is an important consideration to maximize
performance. This work uses a simple multi-purpose method to conduct SNR
analysis and noise characterization of a 4-channel pTx system integrated on an
existing 3 T MRI system.Theory
The
signal-to-noise ratio is defined as: $$SNR = signal power / noise power$$
The noise factor, F, is defined as: $$F = SNRin / SNRout$$
where SNRin is the ratio of radiofrequency (RF) signal and noise power at the input of the device under test for a frequency of interest, and SNRout is the analogous ratio at the output. F is commonly expressed in decibels (dB) as the noise figure (NF) and it is then defined as, $$NF = 10·log(F).$$Methods
To
measure SNR of our 4-channel pTx system3 that is integrated on an
existing 3 T MRI system (Magnetom Prisma, Siemens), RF directional couplers
(C5497-13 / C7008-102, Werlatone, Patterson, NY) were inserted into the RF
transmission pathway as shown in Fig. 1. Normal operation of the MRI system is
possible because of the insertion of the dummy load inside the magnet room,
enabling RF excitation using the pTx system3. Using a spectrum
analyzer (N9010A, Keysight Technologies, Santa Rosa, CA) both signal and noise
power were measured for a specified bandwidth of 51 kHz, such that SNRin and SNRout were
determined separately at different reference points. Corresponding values for F
and NF can then be calculated using the above equations. All measurements
were performed during gradient-echo imaging (repetition time=2000 ms, echo
time=2.46 ms, flip angle=60°, slice thickness=5 mm, field-of-view=220 mm) of a
uniform poly-acrylic acid phantom (conductivity=~0.47 S/m; relative
permittivity=~80), with 4-channel pTx in quadrature mode (90⁰
phase offset between RF pulses submitted on successive channels).Results
SNR
measurement results are reported in Fig. 2. For
additional context, Fig. 3 displays a sample screen capture on the spectrum
analyzer at the input of the signal modulator and Fig. 4 displays sample screen
captures on the spectrum analyzer at the output of each RF power amplifier (RFPA).Discussion and Conclusion
Using
the above equations, the NF of each pTx channel can be calculated, however on
closer inspection, it is believed that the full signal spectrum was not
captured in Fig. 3 and requires further analysis. Small-signal measurement can
be difficult. Nonetheless, Fig. 4 provided a number of useful observations; overall
system noise appears to have increased and channel-to-channel variation in
signal and noise power was observed. This channel-to-channel system behaviour
is likely to change for different pTx-MRI imaging conditions; a challenge for
benchtop procedures to replicate. Therefore, this measurement setup offers many
advantages. For example, a real-time calibration procedure can be implemented
to adjust output signals (e.g. for undesired channel-to-channel variation) for optimal imaging, similar to pre-scan routines
on commercial systems. Other uses include real-time power and specific
absorption rate monitoring and noise characterization of specific devices (e.g.
signal modulator or RFPA). In conclusion, a useful multi-purpose measurement
setup was used to further characterize our 4-channel pTx-MRI system. Additional
system measurements are planned prior to the conference proceedings.Acknowledgements
Special thanks to Fred Tam for the helpful discussion.References
[1]
Tweig et al., “A 16 channel head-only pTx array using high efficiency in-bore
RFPAs at 3T.” ISMRM 2017.
[2]
Filci et al., “Prototype hardware of FPGA controlled multi-channel all-digital
RF transmitter for parallel magnetic resonance imaging.” ISMRM 2017.
[3]
Yang et al., “A Platform for 4‑Channel Parallel Transmission MRI at 3 T: Demonstration
of Reduced Radiofrequency Heating in a Test Object Containing an Implanted Wire.” J Med Biol Eng. 2019.