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Progress In Electromagnetics Research M | ISSN: 1937-8726 |

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## A SIMPLE NUMERICAL METHOD TO COMPUTE THE SIGNAL-TO-NOISE RATIO OF A MAGNETIC RESONANCE IMAGING SURFACE COILBy R. Rojas Rodriguez and A. O. R. Gonzalez
Abstract:
The quality of a magnetic resonance image can be reliably measured by the signal-to-noise ratio. This widely accepted parameter is a function of the magnetic field generated by the coil and the electric field produced by the sample to be imaged. A simple numerical method is proposed to calculate the coil signal-to-noise ratio of a circular-shaped coil and a spherical phantom. The phantom is composed of two-concentric sphere simulating a brain-skull model. The electromagnetic fields produced were then numerically computed by solving Maxwell's equations with the finite element method implemented in a commercial software tool. The electric and magnetic fields were used to numerically determine the signal-to-noise ratio using the quasi-static approach. The numerical results demonstrated that this simple method is able to calcualte the signal-to-noise ratio of surface coils with simple coil geometries involving a simulated phantom.
2. Hoult, D. I., "Sensitivity and power deposition in a high-field maging experiment," 3. Ocegueda, K. and A. O. Rodriguez, "A simple method to calculate the signal-to-noise ratio of a circular shaped coil for MRI," 4. Jin, J., 5. Li, B. K., F. Liu, E. Weber, and S. Crozier, "Hybrid numerical techniques for the modelling of radiofrequency coils in MRI," 6. Hand, J. W., "Modelling the interaction of electromagnetic fields (10 MHz{10 GHz) with the human body: Methods and applications," 7. Rojas, R. and A. O. Rodriguez, "Finite-element electromagnetic simulation of a volume resonator coil for MR neuroimaging," 8. Rojas, R. and A. O. Rodriguez, "Numerical study of the optimal geometry of MRI surface coils," 9., 10. Gabriel, S., R. W. Lau, and C. Gabriel, "The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues," 11. Fenner, R. T., |

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