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与电感式传感器的最佳宽带噪声匹配:在磁粒子成像中的应用。

Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging.

作者信息

Zheng Bo, Goodwill Patrick W, Dixit Neerav, Xiao Di, Zhang Wencong, Gunel Beliz, Lu Kuan, Scott Greig C, Conolly Steven M

出版信息

IEEE Trans Biomed Circuits Syst. 2017 Oct;11(5):1041-1052. doi: 10.1109/TBCAS.2017.2712566. Epub 2017 Jul 20.

DOI:10.1109/TBCAS.2017.2712566
PMID:28742047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5741315/
Abstract

Inductive sensor-based measurement techniques are useful for a wide range of biomedical applications. However, optimizing the noise performance of these sensors is challenging at broadband frequencies, owing to the frequency-dependent reactance of the sensor. In this work, we describe the fundamental limits of noise performance and bandwidth for these sensors in combination with a low-noise amplifier. We also present three equivalent methods of noise matching to inductive sensors using transformer-like network topologies. Finally, we apply these techniques to improve the noise performance in magnetic particle imaging, a new molecular imaging modality with excellent detection sensitivity. Using a custom noise-matched amplifier, we experimentally demonstrate an 11-fold improvement in noise performance in a small animal magnetic particle imaging scanner.

摘要

基于电感式传感器的测量技术在广泛的生物医学应用中很有用。然而,由于传感器的电抗与频率有关,在宽带频率下优化这些传感器的噪声性能具有挑战性。在这项工作中,我们描述了这些传感器与低噪声放大器相结合时噪声性能和带宽的基本限制。我们还提出了三种使用类似变压器的网络拓扑对电感式传感器进行噪声匹配的等效方法。最后,我们应用这些技术来改善磁粒子成像中的噪声性能,磁粒子成像是一种具有出色检测灵敏度的新型分子成像方式。使用定制的噪声匹配放大器,我们在小动物磁粒子成像扫描仪中通过实验证明了噪声性能提高了11倍。

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