磁场梯度波形监测技术的精度与预均衡梯度波形的精度

IF 0.9 4区 医学 Q4 CHEMISTRY, PHYSICAL
Frédéric G. Goora, Bruce J. Balcom
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引用次数: 6

摘要

磁场梯度波形监测仪(MFGM)技术允许表征在磁共振(MR)仪器(mri)的磁场梯度的时间演变。对梯度波形性能的了解有助于进一步技术的发展,如梯度波形预均衡,校正和优化由于在应用开关磁场和其他系统限制期间产生的涡流引起的梯度波形畸变。MFGM技术的精度非常重要,因为梯度波形测量的总体不确定性将传播为校正后的梯度波形的不确定性,从而影响最终MR/MRI测量的精度。通过对MRI中存在的噪声进行处理,研究了MFGM的准确性。噪声接收器模型为噪声的表征提供了基础,并允许检查噪声对纯相位编码MR信号中积累的相位的总体影响。最后,建立了测量的信噪比与相应的MFGM不确定度之间的关系。通过模拟结合实验结果,支持了理论的发展。讨论了不确定性对梯度波形预均衡的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy of the Magnetic Field Gradient Waveform Monitor Technique and Consequent Accuracy of Pre-Equalized Gradient Waveform

The magnetic field gradient waveform monitor (MFGM) technique permits characterization of the temporal evolution of magnetic field gradients in magnetic resonance (MR) instruments (MRIs). Knowledge of the gradient waveform performance permits the development of further techniques, such as gradient waveform pre-equalization, that correct and optimize gradient waveform distortions due to eddy currents induced during the application of switched magnetic fields and other system limitations. The accuracy of the MFGM technique is important since the overall uncertainty of the gradient waveform measurement will propagate into an uncertainty in corrected gradient waveforms impacting the precision of the resulting MR/MRI measurements. The accuracy of MFGM is investigated through a treatment of the noise present in a MRI. A noisy receiver model provides the basis for characterization of the noise and permits examination of the overall impact of noise on the phase accumulated in a pure-phase encoded MR signal. Ultimately, a relationship between the signal-to-noise ratio of a measurement and the corresponding MFGM uncertainty is developed. The theoretical development is supported through simulation in conjunction with experimental results. The propagation of uncertainties to gradient waveform pre-equalization is also discussed.

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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
3
审稿时长
>12 weeks
期刊介绍: Concepts in Magnetic Resonance Part B brings together engineers and physicists involved in the design and development of hardware and software employed in magnetic resonance techniques. The journal welcomes contributions predominantly from the fields of magnetic resonance imaging (MRI), nuclear magnetic resonance (NMR), and electron paramagnetic resonance (EPR), but also encourages submissions relating to less common magnetic resonance imaging and analytical methods. Contributors come from both academia and industry, to report the latest advancements in the development of instrumentation and computer programming to underpin medical, non-medical, and analytical magnetic resonance techniques.
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