Applications of low-field magnetic resonance imaging (MRI) systems (<0.3 T) are limited due to the signal-to-noise ratio (SNR) being lower than that provided by systems based on superconductive magnets (> or = 1.5 T). Therefore, the design of radiofrequency (RF) coils for low-field MRI requires care
An accurate simulator for magnetic resonance coil sensitivity estimation
✍ Scribed by Giulio Giovannetti; Vittorio Viti; Yongjun Liu; Wenhua Yu; Raj Mittra; Luigi Landini; Antonio Benassi
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 225 KB
- Volume
- 33B
- Category
- Article
- ISSN
- 1552-5031
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✦ Synopsis
Abstract
Coil sensitivity estimation in magnetic resonance experiments requires the knowledge of biological sample‐induced resistance. In dependence on system geometry, many authors studied sample–coil interaction by using a very simple coil geometry (circular, square, etc.) and homogeneous infinitely long cylinders, spheres, or half‐spaces as approximations of the sample geometry. However, in real MR experiments, both shape and dimensions can be very different with respect to these coil and sample models. In this article, we propose the application of finite‐difference time‐domain method for sample‐induced resistance estimation. The developed approach can be used as a tool to estimate sample‐induced resistance in complex receiving systems, without approximations in sample and coil geometries. Calculation of both sample‐induced resistance and magnetic field pattern permits to estimate coil sensitivity for optimal coil design in dependence on the sample size and geometry. Comparison with experimental data, performed on two home‐built saddle coils, demonstrated the great accuracy of the developed method. © 2008 Wiley Periodicals, Inc. Concepts Magn Reson Part B (Magn Reson Engineering) 33B: 209–215, 2008
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