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基于混合频率谐波磁化响应的开环窄带磁粒子成像

Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response.

作者信息

Yu Hongli, Huang Ping, Peng Xiting, Wang Zheyan, Qiu Zhichuan, Li Kewen, Li Tianshu, Liu Zhiyao, Cui Hao, Bai Shi

机构信息

School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China.

出版信息

Front Med Technol. 2024 Oct 23;6:1464780. doi: 10.3389/fmedt.2024.1464780. eCollection 2024.

DOI:10.3389/fmedt.2024.1464780
PMID:39507829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11537903/
Abstract

INTRODUCTION

Magnetic particle imaging (MPI), a radiation-free, dynamic, and targeted imaging technique, has gained significant traction in both research and clinical settings worldwide. Signal-to-noise ratio (SNR) is a crucial factor influencing MPI image quality and detection sensitivity, and it is affected by ambient noise, system thermal noise, and the magnetization response of superparamagnetic nanoparticles. Therefore to address the high amplitude system and inherent thermal noise present in conventional MPI systems is essential to improve detection sensitivity and imaging resolution.

METHOD

This study introduces a novel open-loop, narrow-band MPI signal acquisition system based on mixed-frequency harmonic magnetization response. Allowing superparamagnetic nanoparticles to be excited by low frequency, high amplitude magnetic fields and high frequency, low amplitude magnetic fields, the excitation coil generates a mixed excitation magnetic field at a mixed frequency of 8.664 kHz (  + 2 ), and the tracer of superparamagnetic nanoparticles can generate a locatable superparamagnetic magnetization signal with rich harmonic components in the mixed excitation magnetic field and positioning magnetic field. The third harmonic signal is detected by a Gradiometer coil with high signal-to-noise ratio, and the voltage cloud image is formed.

RESULT

The experimental results show that the external noise caused by the excitation coil can be effectively reduced from 12 to about 1.5 μV in the imaging area of 30 mm × 30 mm, which improves the stability of the detection signal of the Gradiometer coil, realizes the detection of high SNR, and makes the detection sensitivity reach 10 μg Fe. By mixing excitation, the total intensity of the excitation field is reduced, resulting in a slight improvement of the resolution under the same gradient field, and the spatial resolution of the image reconstruction is increased from 2 mm under the single frequency excitation (20.7 kHz) in the previous experiment to 1.5 mm under the mixed excitation (8.664 kHz).

CONCLUSIONS

These experimental results highlight the effectiveness of the proposed open-loop narrowband MPI technique in improving signal detection sensitivity, achieving high signal-to-noise ratio detection and improving the quality of reconstructed images by changing the excitation magnetic field frequency of the excitation coil, providing novel design ideas and technical pathways for future MPI systems.

摘要

引言

磁粒子成像(MPI)是一种无辐射、动态且具有靶向性的成像技术,在全球范围内的研究和临床应用中都获得了显著关注。信噪比(SNR)是影响MPI图像质量和检测灵敏度的关键因素,它受到环境噪声、系统热噪声以及超顺磁性纳米颗粒的磁化响应的影响。因此,解决传统MPI系统中存在的高幅值系统噪声和固有热噪声对于提高检测灵敏度和成像分辨率至关重要。

方法

本研究介绍了一种基于混频谐波磁化响应的新型开环、窄带MPI信号采集系统。该系统允许超顺磁性纳米颗粒由低频、高幅值磁场和高频、低幅值磁场激发,励磁线圈以8.664 kHz(±2)的混频产生混合励磁磁场,超顺磁性纳米颗粒示踪剂在混合励磁磁场和定位磁场中可产生具有丰富谐波成分的可定位超顺磁性磁化信号。通过具有高信噪比的梯度计线圈检测三次谐波信号,并形成电压云图。

结果

实验结果表明,在30 mm×30 mm成像区域内,励磁线圈产生的外部噪声可从12有效降低至约1.5 μV,这提高了梯度计线圈检测信号的稳定性,实现了高信噪比检测,使检测灵敏度达到10 μg Fe。通过混合励磁,励磁场的总强度降低,在相同梯度场下分辨率略有提高,图像重建的空间分辨率从先前实验中单一频率励磁(20.7 kHz)时的2 mm提高到混合励磁(8.664 kHz)时的1.5 mm。

结论

这些实验结果突出了所提出的开环窄带MPI技术在提高信号检测灵敏度、实现高信噪比检测以及通过改变励磁线圈的励磁磁场频率提高重建图像质量方面的有效性,为未来MPI系统提供了新颖的设计思路和技术途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6c63dc124105/fmedt-06-1464780-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6b5a74dc0d9c/fmedt-06-1464780-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/a3cbe831aa66/fmedt-06-1464780-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/60b7cfd942fe/fmedt-06-1464780-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/0c79f7423073/fmedt-06-1464780-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/75110e0e3717/fmedt-06-1464780-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/c6c249cfcaf9/fmedt-06-1464780-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/d690d532eab6/fmedt-06-1464780-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/1276edb8fad1/fmedt-06-1464780-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6c8bcdfdeca9/fmedt-06-1464780-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6c63dc124105/fmedt-06-1464780-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6b5a74dc0d9c/fmedt-06-1464780-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/a3cbe831aa66/fmedt-06-1464780-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/60b7cfd942fe/fmedt-06-1464780-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/0c79f7423073/fmedt-06-1464780-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/75110e0e3717/fmedt-06-1464780-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/c6c249cfcaf9/fmedt-06-1464780-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/d690d532eab6/fmedt-06-1464780-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/1276edb8fad1/fmedt-06-1464780-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6c8bcdfdeca9/fmedt-06-1464780-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/11537903/6c63dc124105/fmedt-06-1464780-g010.jpg

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