Improving local SNR of a single-channel 54.6 mT MRI system using additional LC-resonator

J Magn Reson. 2022 Jun:339:107215. doi: 10.1016/j.jmr.2022.107215. Epub 2022 Apr 6.

Abstract

Very-low field magnetic resonance imaging (VLF-MRI, B0 < 0.1T) has an essential application in medical imaging diagnosis because of its light weight and low cost. For single-channel RF coil VLF-MRI system, a planar spiral LC-resonator placed on the surface of samples was designed to improve the local SNR. First, an equivalent circuit model was established to evaluate the boosting effects on radiofrequency (RF) magnetic field and SNR. Second, the relationship between the resonant capacitance and the transmission coefficient was deduced according to the circuit model, and the appropriate resonant capacitance was obtained. Then, the influence of the diameter and the number of turns of the LC-resonator on the SNR is considered, and the structure of the LC-resonator was optimized to maximize the SNR. Finally, a phantom MRI experiment was carried out with our home-built 54.6 mT MRI system to compare the SNR of the experiment with the calculation, the SNR enhancement trend of the two was consistent. Additional experiments were conducted using orange and chicken leg to demonstrate the SNR enhancement abilities of the LC-resonator. The enhancement of SNR reached up to 1.8-fold and 2.2-fold depending on the distance between the sample and LC-resonator. For comparison, we conducted imaging experiments on surface receiving coil with the same parameters, and the results show that the SNR of the LC resonator is comparable to that of the surface coil. The reported LC-resonator provide a low-cost local enhancement method for VLF-MRI.

Keywords: LC-resonator; Low-cost; Magnetic Resonance Imaging (MRI); Signal-to-noise ratio (SNR); Surface coil; Very-Low Field (VLF).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Equipment Design
  • Image Enhancement*
  • Magnetic Resonance Imaging* / methods
  • Phantoms, Imaging
  • Signal-To-Noise Ratio