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均匀球体内最终固有信噪比的解析表达式。

An analytic expression for the ultimate intrinsic SNR in a uniform sphere.

机构信息

Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.

The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, New York.

出版信息

Magn Reson Med. 2018 Nov;80(5):2256-2266. doi: 10.1002/mrm.27207. Epub 2018 Apr 22.

DOI:10.1002/mrm.27207
PMID:29682800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6107403/
Abstract

PURPOSE

The ultimate intrinsic signal-to-noise ratio (UISNR) is normally calculated using electrodynamic simulations with a complete basis of modes. Here, we provide an exact solution for the UISNR at the center of a dielectric sphere and assess how accurately this solution approximates UISNR away from the center.

METHODS

We performed a mode analysis to determine which modes contribute to central UISNR - ζ(r→0). We then derived an analytic expression to calculate ζ(r→0) and analyzed its dependence on main magnetic field strength, sample geometry, and electrical properties. We validated the proposed solution against an established method based on dyadic Green's function simulations.

RESULTS

Only one divergence-free mode contributes to ζ(r→0). The UISNR given by the exact solution matched the full simulation results for various parameter settings, whereas calculation speed was approximately 1000 times faster. We showed that the analytic expression can approximate the UISNR with <5% error at positions as much as 10-20% of the radius away from the center.

CONCLUSION

The proposed formula enables rapid and direct calculation of UISNR in the central region of a sphere. The resulting UISNR value may be used, for example, as an absolute reference to assess the performance of head coils with spherical phantoms.

摘要

目的

通常使用具有完整模式基的电动模拟来计算最终固有信噪比 (UISNR)。在这里,我们提供了介电球体中心处 UISNR 的精确解,并评估了该解在远离中心时对 UISNR 的近似程度。

方法

我们进行了模式分析,以确定哪些模式对中心 UISNR-ζ(r→0)有贡献。然后,我们推导出了一种计算 ζ(r→0)的解析表达式,并分析了其对主磁场强度、样品几何形状和电特性的依赖性。我们通过基于并矢格林函数模拟的已有方法对提出的解决方案进行了验证。

结果

只有一个无散度模式对 ζ(r→0)有贡献。对于各种参数设置,精确解给出的 UISNR 与全模拟结果匹配,而计算速度大约快 1000 倍。我们表明,该解析表达式可以在距中心半径的 10-20%范围内以 <5%的误差来近似 UISNR。

结论

所提出的公式可用于在球体中心区域快速直接地计算 UISNR。所得到的 UISNR 值可用于例如作为评估具有球形仿体的头线圈性能的绝对参考。

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本文引用的文献

1
Approaching ultimate intrinsic signal-to-noise ratio with loop and dipole antennas.采用环形和偶极天线逼近最终的固有信噪比。
Magn Reson Med. 2018 Mar;79(3):1789-1803. doi: 10.1002/mrm.26803. Epub 2017 Jul 4.
2
On the Contribution of Curl-Free Current Patterns to the Ultimate Intrinsic Signal-to-Noise Ratio at Ultra-High Field Strength.无旋电流模式对超高场强下最终固有信噪比的贡献
NMR Biomed. 2017 May;30(5). doi: 10.1002/nbm.3691. Epub 2017 Feb 10.
3
The ultimate signal-to-noise ratio in realistic body models.真实人体模型中的最终信噪比。
Magn Reson Med. 2017 Nov;78(5):1969-1980. doi: 10.1002/mrm.26564. Epub 2016 Dec 4.
4
Electrodynamics and radiofrequency antenna concepts for human magnetic resonance at 23.5 T (1 GHz) and beyond.用于23.5T(1GHz)及更高场强人体磁共振的电动力学与射频天线概念
MAGMA. 2016 Jun;29(3):641-56. doi: 10.1007/s10334-016-0559-y. Epub 2016 Apr 20.
5
Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods.基于加速积分方程法的MRI发射射频线圈快速电磁分析
IEEE Trans Biomed Eng. 2016 Nov;63(11):2250-2261. doi: 10.1109/TBME.2016.2521166. Epub 2016 Jan 22.
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Approaching Ultimate Intrinsic SNR in a Uniform Spherical Sample with Finite Arrays of Loop Coils.利用环形线圈有限阵列在均匀球形样本中逼近极限固有信噪比。
Concepts Magn Reson Part B Magn Reson Eng. 2014 Aug;44(3):53-65. doi: 10.1002/cmr.b.21268.
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Ideal current patterns yielding optimal signal-to-noise ratio and specific absorption rate in magnetic resonance imaging: computational methods and physical insights.磁共振成像中产生最佳信噪比和特定吸收率的理想电流模式:计算方法和物理见解。
Magn Reson Med. 2012 Jul;68(1):286-304. doi: 10.1002/mrm.23198. Epub 2011 Nov 29.
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Analytic expressions for the ultimate intrinsic signal-to-noise ratio and ultimate intrinsic specific absorption rate in MRI.MRI 中的极限固有信噪比和极限固有吸收率的解析表达式。
Magn Reson Med. 2011 Sep;66(3):846-58. doi: 10.1002/mrm.22830. Epub 2011 Mar 9.
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The Virtual Family--development of surface-based anatomical models of two adults and two children for dosimetric simulations.虚拟家庭——为剂量模拟开发两个成人和两个儿童的基于表面的解剖模型。
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Performance evaluation of a 32-element head array with respect to the ultimate intrinsic SNR.32 元素头部阵列相对于终极固有 SNR 的性能评估。
NMR Biomed. 2010 Feb;23(2):142-51. doi: 10.1002/nbm.1435.