The relevant electromagnetic compatibility mechanisms of an integrated receiver based on 130nm CMOS technology are investigated. Imaging performance is verified with a digital wearable array, which was based on liquid metal and layed out for knee imaging. The study found that gradient switching and transients related to detuning are not critical in terms of EMC. However, coupling of RF to the preamplifier input has been found to exceed the receiver’s acceptable input voltage of 1.7V despite the use of protection diodes. Thus, a B1 limitation was applied and robust imaging performance was demonstrated in phantom and in vivo imaging.
1. Nordmeyer-Massner JA, De Zanche N, Pruessmann KP. Stretchable coil arrays: Application to knee imaging under varying flexion angles. Magn Reson Med. 2012;67(3):872-879. doi:10.1002/mrm.23240
2. Zhang B, Sodickson DK, Cloos MA. A high-impedance detector-array glove for magnetic resonance imaging of the hand. Nat Biomed Eng. 2018;2:570-577. doi:10.1038/s41551-018-0233-y
3. Vincent JM, Rispoli J V. Conductive thread-based stretchable and flexible radiofrequency coils for magnetic resonance imaging. IEEE Trans Biomed Eng. 2020;67(8):2187-2193. doi:10.1109/TBME.2019.2956682
4. Port A, Luechinger R, Albisetti L, et al. Detector clothes for MRI: A wearable array receiver based on liquid metal in elastic tubes. Sci Rep. 2020;10:8844. doi:10.1038/s41598-020-65634-5
5. Port A, Luechinger R, Brunner DO, Pruessmann KP. Elastomer coils for wearable MR detection. Magn Reson Med. 2021;85(5):2882-2891. doi:10.1002/mrm.28662
6. Sporrer B, Wu L, Bettini L, et al. A fully integrated dual-channel on-coil CMOS receiver for array coils in 1.5-10.5 T MRI. IEEE Trans Biomed Circuits Syst. 2017;11(6):1245-1255. doi:10.1109/TBCAS.2017.2764443
7. Port A, Reber J, Vogt C, et al. Towards wearable MR detection: A stretchable wrist array with on-body digitization. In: Proceedings of the 26th Annual Meeting of ISMRM, Paris, France, 2018. p. 0017.
8. Marjanovic J, Reber J, Brunner DO, et al. A Reconfigurable Platform for Magnetic Resonance Data Acquisition and Processing. IEEE Trans Med Imaging. 2020;39(4):1138-1148. doi:10.1109/TMI.2019.2944696
9. Reber J, Marjanovic J, Brunner DO, et al. An In-bore Receiver for Magnetic Resonance Imaging. IEEE Trans Med Imaging. 2020;39(4):1-1. doi:10.1109/tmi.2019.2939090
10. Wallner BK, Edelman RR, Bajakian RL, Kleefield J, Atkinson DJ, Mattle HP. Signal normalization in surface-coil MR imaging. Am J Neuroradiol. 1990;11(6):1271-1272.
11. Nohava L, Ginefri J, Willoquet G, Laistler E, Frass-Kriegl R. Perspectives in Wireless Radio Frequency Coil Development for Magnetic Resonance Imaging. Front Phys. 2020;8:11. doi:10.3389/fphy.2020.00011
12. Byron K, Winkler SA, Robb F, Vasanawala S, Pauly J, Scott G. An MRI compatible RF MEMs controlled wireless power transfer system. IEEE Trans Microw Theory Tech. 2019;67(5):1717-1726. doi:10.1109/TMTT.2019.2902554
13. Lu JY, Robb F, Pauly J, Scott G. Wireless Q-spoiling of receive coils at 1.5T MRI. In: Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, USA, 2017. p. 4297.
On-body digitization. The digitizer is implemented in 130nm CMOS technology, which allows for small size and low power consumption. However, this also makes it vulnerable to interference from RF transmission, gradient switching and detune switch events.
Simulation/measurement setup. The coil size was 8x8cm for the simulations and measurements. a) RF and gradient frequencies were fRF=127.8MHz and fGR=10kHz. The amplitudes ARF and AGR corresponded to the EMF induced in the coil depending on B1 values for RF and on a gradient strength of 40mT/m and distance of 10cm from the isocenter for gradients. The detune switch event was modeled as a voltage step. The simulated voltages on the receiver’s RF inputs were Vpreamp_p and Vpreamp_n. b) Simulation results for the three EMC mechanisms. c) Results for in-bore measurements of voltages.
SNR comparison between reference and stand-alone preamplifier. Each preamplifier was connected to an 8x8cm coil, which was individually tuned and noise matched. SNR yield was determined in a region-of-interest in the center of the phantom.
Imaging sequence parameters: TR 30ms, TE 6.1ms, FA 30°, 1x1x10mm3, FOV 280x280mm, Scan duration 0:24min.
Phantom imaging with on-coil digitization. a) The 8x8cm copper coil had a Q-ratio of Qunloaded/Qloaded = 322/20 = 16.1. Imaging sequence parameters: TR 30ms, TE 6.1ms, FA 30°, 1x1x10mm3, FOV 280x280mm, Scan duration 0:09min. b) The coil elements of the liquid metal array were sized 6x16cm and had Q-ratios of Qunloaded/Qloaded = 120/17 = 7.1 and Qunloaded/Qloaded = 135/17 = 7.9. Imaging sequence parameters: TR 30ms, TE 6.9ms, FA 30°, 1x1x10mm, FOV 280x280mm, Scan time 0:09min (Transverse) and TR 500ms, TE 6.4ms, FA 30°, 1x1x3mm3, FOV 200x200mm, NSA 2, Scan time 3:22min (Sagittal).
The digital wearable array. Liquid metal coil elements were embedded between two layers of stretchable textile. Interface electronics for tuning, matching and detuning as well as the receiver are connected to the coil. Acquired MR data is sent out of the bore via optical fibers. In vivo images were acquired in straight and flexed position. Imaging sequence parameters:
TR 500ms, TE 6.2ms, FA 30°, 1x1x3mm3, 10 slices, Scan duration 3:22min, 2 NSA, FOV 200x200x33 (Straight) and TR 500ms, TE 6.3ms, FA 30°, 1x1x3mm3, 10 slices, Scan duration 3:22min, 2 NSA, FOV 200x200x33 (Flexed).