Finite element method-based approach for radiofrequency magnetic resonance coil losses estimation

Giulio Giovannetti, Gianluigi Tiberi, Michela Tosetti

Research output: Contribution to journalArticlepeer-review

Abstract

The simulation and the design of radiofrequency (RF) coils are fundamental tasks to maximize Signal-to-Noise Ratio (SNR) in Magnetic Resonance (MR) applications. The estimation of coil resistance, that is, the losses within the coil conductors, which depends on tuning frequency, allows the prediction of coil performance and data SNR. At RF, the conductor resistance is increased due to the skin effect, which distributes the current primarily near the conductor surface instead of uniformly over the cross section. Moreover, the radiative losses estimation as a function of tuning frequency permits a total coil performance characterization, especially for high-frequency tuned coils when this loss mechanism could be the dominant one. In this work we compared Finite Element Method (FEM) simulations with analytical calculations performed in wire loop RF coils for MR applications. Our results showed that FEM can predict the losses within the coil conductors at 5.7 MHz with a relative difference of <3% compared to analytical calculation, while the relative difference increased to 58% at 127.8 MHz. Concerning the radiative losses, the relative difference between analytical formulation and FEM was lower than 3% at 5.7 MHz, and increasing to 44% at 127.8 MHz. Experimental measurements on a circular coil prototype were also performed at 85.2 MHz and 127.8 MHz, showing a better agreement with FEM simulations than with analytical calculations.

Original languageEnglish
Pages (from-to)186-190
Number of pages5
JournalConcepts in Magnetic Resonance Part B: Magnetic Resonance Engineering
Volume46B
Issue number4
DOIs
Publication statusPublished - Oct 1 2016

Keywords

  • numerical methods
  • radiofrequency coils
  • wire

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Spectroscopy
  • Physical and Theoretical Chemistry

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