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In-bore Preamplifier Nonlinearity Calibration
Chris Vassos1, John Pauly1, Fraser Robb2, Shreyas Vasanawala3, and Greig Scott1
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2GE Healthcare, Aurora, OH, United States, 3Radiology, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Hybrid & Novel Systems Technology, System Imperfections: Measurement & Correction

Present MRI preamplifiers are very linear but use 10s of mA bias current and over 150mW power. For wireless arrays, low power alternatives based upon SiGe transistors are needed. These achieve the needed gain and noise figure, with order of magnitude power reduction, but at the cost of increased nonlinearity. Using pilot tone technology, we present a calibration system for preamplifier nonlinearity correction targeted to low power SiGe preamplifiers. This system integrated a phase-locked SDR into a form of prescan to demonstrate that in-bore preamplifier linearity calibration and correction are possible.

Introduction

MRI phased array preamplifiers are presumed to be highly linear. Conventional MRI preamplifiers based upon pHEMT FET technology achieve this linearity but at the cost of high bias current (15-60mA) and power consumption in excess of 150mW per coil element. However, in the drive toward wearable, wireless receive arrays, such power consumption is untenable. Recent efforts employing SiGe bipolar devices can meet the noise figure and gain needs of MRI at bias currents well under 5mA and power consumption below 10mW [1]. However these devices exhibit an exponential non-linearity that could impact dynamic range in 3D sequences. Meanwhile, auxiliary tone injection has gained popularity for pilot tone motion correction, and free-run synchronization [2-6]. Here, we assess the use of tone-injection technology for in-bore calibration and correction of preamplifier nonlinearity.

Methods

We constructed a shielded 13cm coax loop for in-bore tone injection in a GE 1.5T MRI (Fig. 1) The loop was placed on the patient table, sufficiently close for inductive coupling to a 5in MRI surface coil without loading the latter. The 50 MHz clock of a Medusa software defined radio [7], was phase locked to the scanner 10 MHz reference via a waveform synthesizer. Calibration signals were triggered by an opto-coupled Tx unblank signal during an MRI image acquisition with the body transmit disabled. During calibration tone transmit, a directional coupler provided a copy of the signal to the Medusa receive chain, allowing direct tone transmit linearity to be monitored.

For testing, we used a SiGe preamplifier prototype (BFP840 2.2mA, 6.6mW) [1] and a WMA1R5A (WanTcom) HEMT preamp as a reference. Due to interface limitations, a cascade of the test preamp and 30dB attenuator was inserted via a bias T between a 5 inch surface coil and its dedicated internal scanner preamp coil port. This approach maintained the existing receive chain at its optimal dynamic range. The preamp-attenuator acted as an approximate unity gain stage that appeared transparent to the internal system preamp and receive chain. This was acceptable for the primary goal of linearity quantification.

The calibration waveform included a constant amplitude prefix that was used as a phase reference followed by a SINC waveform with spectral spread equal to 1/4 the MRI field of view (Fig. 2a). The calibration sequence should have a bandwidth N times (here 4x) that of the calibration SINC to capture higher order intermodulation distortion. Here, SINC BW was set at 62.5 kHz, and image BW at 250 kHz. This waveform was stepped in amplitude as well as multiple phase steps. The signal timing was delayed to fall within the MRI readout interval. Figure 2b shows the effective "image" which is merely the FFT of the time domain signals with the expected SINC and now RECT signal bands of the calibration. Following linearity tabulation, the data were used in subsequent 3D GRE image acquisitions with a GE resolution phantom and 30cm spherical phantom. The 3D GRE sequences were acquired with Nro*Npe*Nslic: 256x256x32.

Results

The resulting calibration curves are shown in Figure 3. For both the resolution and spherical phantoms, the SiGe preamplifier typically undergoes a slight gain expansion before gain compression onset. The purple lines show the peak k-space amplitude from the 3D data - the resolution phantom hits gain expansion, and the spherical data achieves gain compression. Figure 4 shows the SiGe preamp nonlinearity artifact for the resolution phantom relative to that of the very linear WanTcom WMA1R5A. Nonlinearity shows as bleed-thru in the readout direction, but is largely corrected using the calibration tones. Figure 5 also shows a signal bloom in the readout for a large spherical phantom and the corrected data.

Discussion

With the growing popularity of pilot tone methods, one can envision future MRI scanners as providing inherent support for phase synchronous tone injection, both during prescan and imaging intervals. In our initial implementation, in effect, the scanner was "hacked" to demonstrate the linearity calibration within an MRI sequence, at some cost in acquisition time. In a fully integrated system, the linearity calibration could be achieved on the time scale of ~100 ms. Other options to consider are whether this calibration can be one time only, for data-base storage, and/or for real-time fault detection. Time dependent gain anomalies such as preamp gain recovery following RF pulses could also be enabled.

Conclusion

An in-bore preamplifier linearity correction system was prototyped. The results show that for low-power but somewhat nonlinear Silicon germanium transistor preamps, image fidelity can be largely recovered. This will be be particularly useful if SiGe devices are deployed for battery powered wearable, wireless receive arrays.

Acknowledgements

We thank GE Healthcare for research support, and received funding from NIH grants R01 EB019241, U01EB029427, R01EB012031, U01EB026412

References

[1 ] Vassos C et al, A semi-blind calibration and compensation method for dynamic range recovery of low-power pre-amplifiers in MRI receive chains, IEEE Trans Med Imaging, 10.1109/TMI.2022.3195656

[ 2] Solomon E, et al, Free-breathing radial imaging using a pilot-tone radio frequency transmitter for detection of respiratory motion, MRM, 85, 2672, 2021.

[3] Vahle T, et al, Respiratory motion detection and correction for MR using the pilot tone, Invest. Radiol. 55, 153, 2020.

[4] Bosshard J et al, Phase Correction with Asynchronous Digitizers, Proc ISMRM, p1787, 2015.

[5] Scott G et al, Pilot tone software synchronization for wireless MRI receivers, Proc ISMRM, p25, 2018.

[6] Scott GC, Synchronization of wireless transmitted MRI signals in MRI system US7123009, 2006

[7] Stang P et al, Medusa: A scalable MR console using USB, IEEE Trans. Med. Imaging, 31:1173, 2012.

Figures

Figure 1a) System level layout for in-bore preamp linearity calibration. Signals are injected by a Medusa SDR to a shielded coax transmit loop on the patient table. The test preamp is inserted via a bias T to a surface coil port and attenuated so net gain is about unity, hence appearing 'transparent' to the scanner. b) Medusa SDR 50 MHz clock is phase locked to the scanner 10 MHz clock via a waveform synthesizer. Calibration tones are also fed back and digitized by the SDR as an independent linearity reference. Signal playout is triggered by the opto-coupled Tx unblank.

Figure 2: a) Calibration tones are delayed to the readout window of a GRE sequence while the body coil transmit is effectively disabled. A fixed amplitude prefix is used as a phase reference, then a SINC style calibration waveform is transmitted. This tone mimics 1/4 the MRI signal FOV. b) The calibration "image" shows the FFT - the prefix tone FFT appears as a SINC and the calibration FFT is now a RECT. The image demonstrates complete phase lock of the calibration signals.

Figure 3: SiGe preamp calibration curves using a GE resolution phantom (left) and spherical phantom (right). These curves are created by the test tones while mimicking 3D data acquisition with the intent to drive the preamp into nonlinearity. With SiGe transistor preamps, one typically sees a gain expansion region followed by gain compression.

Figure 4) One slice of a 3D acquisition from the GE resolution phantom. For reference a pHEMT preamp (WanTcom WMA1R5A) is also provided. The nonlinearity of the SiGe preamp causes signal bleeding visible at 1/20th windowing. Linearity correction largely corrects for this.

Figure 5) One slice of a 3D acquisition from a spherical phantom. An MRI pHEMT based preamp (WanTcom WMA1R5A) is a reference. The nonlinearity of the SiGe preamp again causes signal bleeding in the readout direction seen under 1/20th windowing. Linearity correction again largely corrects this.

Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)
3726
DOI: https://doi.org/10.58530/2023/3726