Digital filters for low-field NMR

IF 0.9 4区 医学 Q4 CHEMISTRY, PHYSICAL
Andrea Valori, Jonathan Mitchell, Edmund J. Fordham
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引用次数: 3

Abstract

We review the theory and operation of digital filters in modern nuclear magnetic resonance (NMR) spectrometers with fully digital receivers. Custom digital filters tailored for particular experimental requirements offer substantial improvements in signal-to-noise ratio (SNR), sensitivity, pulse sequence timing, and rejection of heteronuclear contamination. Pass-band filters are designed and applied in the frequency domain. In high-field imaging and spectroscopy, the impact of the filter is straight forward to visualize. However, low-field NMR data acquired on bench-top magnets are typically analyzed in the time-domain where the influence of a frequency-domain filter is not obvious and largely overlooked by end-users. We provide practical guidance on the design and implementation of digital filters for bench-top NMR applications, with examples of data acquired at 2.4 and 12.9 MHz. We discuss the compromise between speed (filter settling time) and noise rejection, and consider the special case of 19F signal contamination in 1H measurements. We suggest filter designs for narrow-line liquid samples, broad-line samples, and imaging.

低场核磁共振数字滤波器
本文综述了现代全数字接收机核磁共振光谱仪中数字滤波器的原理和工作原理。为特定实验要求量身定制的数字滤波器在信噪比(SNR)、灵敏度、脉冲序列时序和抑制异核污染方面提供了实质性的改进。设计了通带滤波器,并将其应用于频域。在高场成像和光谱学中,滤光片的影响是直接可见的。然而,在台式磁体上获得的低场核磁共振数据通常在时域进行分析,其中频域滤波器的影响不明显,并且在很大程度上被最终用户忽略。我们提供了用于台式NMR应用的数字滤波器的设计和实现的实用指导,并提供了在2.4和12.9 MHz采集数据的示例。我们讨论了速度(滤波器沉降时间)和噪声抑制之间的折衷,并考虑了1H测量中19F信号污染的特殊情况。我们建议为窄线液体样品、宽线样品和成像设计滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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